Selected methodological publications from investigators, postdoctoral researchers and PhD students
For full publication listings please see links available via the People page.
Preprints and articles in press
Mahar RK, Lee KJ, Chakraborty B, Salim A, Simpson JA. Making SMART decisions in prophylaxis and treatment studies. arXiv:2203.12859. March 2022. https://doi.org/10.48550/arXiv.2203.12859
Moreno-Betancur M, Wijesuriya R, Carlin JB. Reflections on frameworks for defining causal estimands in both observational studies and trials: Response to Labrecque et al. Epidemiology. 2026 Aug 25. https://doi.org/10.1097/ede.0000000000002040
Zhang J, S Dashti SG, Carlin JB, Lee KJ, Bartlett JW, Moreno-Betancur M. Sensitivity analysis methods for outcome missingness using substantive-model-compatible multiple imputation and their application in causal inference. arXiv:2411.13829 2024. DOI: 10.48550/arXiv.2411.13829
Nguyen CD, Lee KJ, White IR, van Buuren S, Moreno-Betancur M. Sensitivity analysis for multivariable missing data using multiple imputation: a tutorial. arXiv:2502.02892 2025. DOI: 10.48550/arXiv.2502.02892
Zhang J, S Dashti SG, Carlin JB, Lee KJ, Moreno-Betancur M. On the use of auxiliary variables in multiple imputation when estimating the average causal effect with missing data. arXiv:2606.22016 2026. DOI: 10.48550/arXiv.2606.22016
| Ong SWX, Patrikar A, Pinto R, Mahar RK, Rishu A, Davis JS, et al Application of a novel Desirability of Outcome Ranking endpoint incorporating a Framework for Resistance Assessment and Microbiologic Evaluation in antibiotic trials: a proof-of-concept in a post hoc analysis of the BALANCE trial. Open Forum Infect Dis 13(6):ofag142: 2026. Link |
| Ong SWX, Pinto R, Mahar RK, Rishu A, Davis JS, Fowler RA, et al. Accounting for non-adherence to assigned antibiotic treatment duration for bloodstream infection (BALANCE): a post-hoc analysis of a randomised clinical trial. Lancet Infect Dis 26(3):250-259: 2026. Link |
| Albers FEM, Moreno-Betancur M, Milne RL, English DR, Lynch BM, Dashti SG. The Authors Respond. Epidemiology 37(1):e2-e3: 2026. Link |
| E Rezaei-Darzi, AB Forbes, K Grantham, J Kasza. A classification of incomplete stepped wedge cluster randomised trial designs. Clinical Trials Accepted June 2026: 2026. Link |
| Lin J, De Silva AP, Falster M, Dobbins T, Chen Y, Zhang Z, Cao Y, Davidson PM. Addressing missing data in real-world administrative health datasets. European Journal of Cardiovascular Nursing : 2026. Link |
| Lee KM, Forbes AB, Kasza J, Copas A, Kahan BC, Young PJ, Harhay MO, Li, F. What is estimated in cluster randomized crossover trials with informative sizes? A survey of estimands and common estimators. Statistical Methods in Medical Research 35(9):1980-2000: 2026. Link |
| Sullivan TR, Lee KJ, Bednarz JM and Yelland LN. Multiple imputation in clinical trials: what difference does it make? A systematic review of the impact of multiple imputation on treatment effect estimation. Clinical Trials 23(4):430-438: 2026. Link |
| Selman CJ, Lee KJ and Mahar RK. Evaluating the performance of Bayesian cumulative logistic models in randomised controlled trials: a simulation study. BMC Med Res Methodol : 2026. Link |
| Kasza J, Mihala G, Caille A, Bowden, R. Reducing Bias in Cluster Randomized Trials in Nephrology. Journal of the American Society of Nephrology 37(9), 2055–2058: 2026. Link |
| Quintin O, Kasza J, Davies N, Markham S, Hooper, R. Small numbers of clusters in cluster randomised trials: a scoping review of problems and proposed solutions. Journal of Clinical Epidemiology 112395: 2026. Link |
| Tanvir KM, Grantham K, Forbes AB, Kasza J. Additional crossovers in cluster randomised crossover trials do not always increase statistical power. Clinical Trials : 2026. Link |
| Orlando D, Bowden R, Grantham KL, McKenzie JE, Forbes AB, Kasza J. Comparing meta-analysis and linear mixed model-based approaches for the analysis of continuous outcomes from batched stepped wedge trials. Clinical Trials : 2026. Link |
| Kasza J, Grantham KL, Bowden R, Kahan BC, Forbes AB. Repeated inclusion cluster randomised trials: a new class of designs for assessing group-level interventions. Biometrics 82:ujag009: 2026. Link |
| Lange K, Sullivan T, Kasza J, Yelland L. An online sample size calculator for designing partially clustered trials. Clinical Trials 23:225-231: 2026. Link |
| Kahan B, Bretz F, Copas A, Harhay M, Collins G, Bahti M, Bi D, Campbell MK, Courtright K, Feeney F, Forbes AB, Garg A, Halpern S, Heagerty P, Hemming K, Hopewell S, Highes J, Murray D, Ross J, Stewart D, Taljaard M, Ukoumunne O, Auriemma C, Li F. The CRT-Estimands Framework: a consensus-based extension of the ICH E9(R1) addendum for cluster randomised trials. British Medical Journal 393:e089050: 2026. Link |
| Xu J, Mahar RK, Lee KJ, De Silva AP, Simpson JA. Inverse probability weighted estimation of dynamic treatment regimen means in sequential multiple assignment randomised trials with missing data: a simulation study. Trials 27: 2026. Link |
| Tully MK, Commons RJ, Simpson JA, Price DJ. Quantification of cure for pharmacodynamic models of antimalarial drugs: Deterministic versus stochastic approaches. Br J Clin Pharmacol 92:317-322: 2026. Link |
| Siriwardena GA, Luu S, Gunaratne RK, Simpson JA, Leslie K, Braat S, De Silva AP. Defining estimands in anaesthesia clinical trials: a scoping review and framework. British Journal of Anaesthesia : 2026. Link |
| Moss R, Dini S, Kho S, Barber BE, Buffet PA, Rajasekhar M, Price DJ, Anstey NM, Simpson JA. The role of the spleen in red blood cell loss caused by malaria: A mathematical model. PLoS Comput Biol 22:e1013865: 2026. Link |
| Moreno-Betancur M, Wijesuriya R, Carlin JB. The Ideal Trial: Defining Causal Estimands that Balance Relevance and Feasibility in Target Trial Emulations and Actual Randomized Trials. Epidemiology 1;37(2):153-162: 2026. Link |
| Wijesuriya R, Hughes R, Carlin JB, Peters RL, Koplin JJ, Moreno-Betancur M. Roadmap for systematic identification and analysis of multiple biases in causal inference. American Journal of Epidemiology kwag166: 2026. Link |
| Hansford HJ, McAuley JH, Swanson SA, Islam N, Dahabreh IJ, Dickerman BA, Egger M, Garcia-Albeniz X, Golub RM, Lodi S, Moreno-Betancur M, Pearson S-A, Schneeweiss S, Sterne JAC, Sharp MK, Jones MD, Stuart EA, Lee H, Hernán MA, Cashin AG. The TARGET guideline for reporting observational studies of interventions. Nature Medicine 32:1954–1955 2026. Link |
| Ong SWX, Pinto R, Mahar RK, Petersiel N, Fowler RA, Davis JS, et al Comparing different methods for analysing hierarchical composite endpoints: two illustrative case studies with post hoc analyses of the BALANCE and CAMERA2 randomized clinical trials. Clin Microbiol Infect 32(3):482-489: 2026. Link |
| Cashin AG, Hansford HJ, Hernán MA, Swanson SA, Lee H, Jones MD, Dahabreh IJ, Dickerman BA, Egger M, Garcia-Albeniz X, Golub RM, Islam N, Lodi S, Moreno-Betancur M, Pearson S-A, Schneeweiss S, Sharp MK, Sterne JAC, Stuart EA, McAuley JH. Transparent Reporting of Observational Studies Emulating a Target Trial—The TARGET Statement. BMJ 390: e087179: 2025. Link |
| Cashin AG, Hansford HJ, Hernán MA, Swanson SA, Lee H, Jones MD, Dahabreh IJ, Dickerman BA, Egger M, Garcia-Albeniz X, Golub RM, Islam N, Lodi S, Moreno-Betancur M, Pearson S-A, Schneeweiss S, Sharp MK, Sterne JAC, Stuart EA, McAuley JH. Transparent Reporting of Observational Studies Emulating a Target Trial—The TARGET Statement. JAMA 334(12):1084-1093: 2025. Link |
| Chen T, Dashti GD, Moreno-Betancur M. medRCT: Causal mediation analysis estimating interventional effects mapped to a target trial in R. Journal of Open Source Software 10(110):8063: 2025. Link |
| McGree JM, Overstall AM, Jones M, Mahar RK. An approach to design adaptive clinical trials with time-to-event outcomes based on a general Bayesian posterior distribution. Stat Med 44(23-24):e70207: 2025. Link |
| Dashti GD, Moreno-Betancur M. Descriptive social epidemiology: putting the question before the methods. American Journal of Epidemiology 194(8):2150–2153: 2025. Link |
| Ong SWX, Mahar RK, Selman CJ, Pinto R, Davis JS, Fowler RA, et al. Making sense of hierarchical composite end points in randomized clinical trials: a primer for infectious diseases clinicians and researchers. Clin Infect Dis 81(5):e319-e329: 2025. Link |
| Carlin JB, Moreno-Betancur M. Rejoinder to Commentaries on: On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching. Stat Med 44: e70065: 2025. Link |
| Jayawardana KS, Dymock M, Mahar RK, Marsh JA, Lee KJ. A practical guide to simulation for an adaptive trial design with a single interim analysis. Trials 26:400: 2025. Link |
| Mahar R, Webb S, Marschner I, Forbes AB, Lee KJ. Platform trials: key features, when to use them and methodological challenges. Med J Aust 223(3):120-122: 2025. Link |
| Albers FEM, Moreno-Betancur M, Milne RL, English DR, Lynch BM, Dashti SG. Prediagnostic Exposures and Cancer Survival: Can a Meaningful Causal Estimand Be Specified?. Epidemiology 36(3):408-412: 2025. Link |
| Mahar RK, McGlothlin A, Dymock M, Barina L, Bonten M, Bowen A, et al. Statistical documentation for multi-disease, multi-domain platform trials: our experience with the Staphylococcus aureus Network Adaptive Platform trial. Trials 26:49: 2025. Link |
| Lee KJ, Middleton M and Mahar RK. A primer for clinical researchers on innovative trial designs for emergency medicine. Emergency Medicine Australasia 37(1):e1532: 2025. Link |
| Manley BJ, McKinley CJD, Lee KJ, Groom KM and Whitehead CL. Adapt to survive and thrive: The time is now for adaptive platform trials for preterm birth. Lancet Child & Adolescent Health 9(2):131-137: 2025. Link |
| Walker H, McLeman L, Meyran D, Goh L, Summers P, Stopler J, Hanna D, Hughes D, Wang S, Toro C, Williams E, Dyas R, Rubinek LC, Taylor K, Selman CJ, Grobler A, Lee KJ, Snelling T, Cole T, Gwee A and Conyers R. Co-designing a novel ordinal endpoint for an adaptive platform trial, ‘BANDICOOT’, in paediatric haematopoietic stem cell transplant. Transplantation and Cellular Therapy : 2025. Link |
| Jong T, Baird T, Barr HL, ... Lee KJ, ... Finding the optimal regimen for Mycobacteroides abscessus treatment (FORMaT) in people with Mycobacteroides abscessus pulmonary disease: a multicentre, randomised, multi-arm, adaptive platform trial. BMJ Open 15:e096188: 2025. Link |
| Selman CJ, Ong SWX, Middleton M, Di Stefano L, Bourke EM, Long E, Babl F and Lee KJ. Review article: Primer for clinical researchers on ordinal outcomes for emergency medicine. Emergency Medicine Australasia Feb;38(1):e70201 : 2025. Link |
| Zaloumis S, Summers MJ, Presneill JJ, Bellomo R, Chapple LS, Chapman MJ, Deane AM, Ferrie S, French C, Hurford S, Kakho N, Maiden MJ, O’Connor SN, Peake SL, Ridley EJ, Tran-Duy A, Williams, PJ, Young PJ, Karahalios A. TARGET Protein: the effect of augmented administration of enteral protein to critically ill adults on clinical outcomes-statistical analysis plan for a cluster randomized, cross-sectional, double cross-over, clinical trial. Trials Feb 6;26(1):42: 2025. Link |
| Lange KM, Kasza J, Sullivan TR, Yelland LN. Sample Size Calculations for Partially Clustered Trials. Statistics in Medicine 44: e70172: 2025. Link |
| Karahalios A, White IR, Turner SL, Salanti G, Herbison GP, Veroniki AA, Nikolakopoulou A, McKenzie JE. An investigation of the impact of using contrast- and arm-synthesis models for network meta-analysis. Res Synth Methods 16(4):631-649: 2025. Link |
| Hemming K, Thompson J, Kristunas C, Forbes AB, Watson S, Bowden R, McKenzie JE, Kasza J. The performance of small sample correction methods for controlling Type I error when analysing parallel cluster randomised trials: a systematic review of simulation studies. Journal of Clinical Epidemiology 111838: 2025. Link |
| Turner S, Korevaar E, Karahalios A, Forbes A, McKenzie J. Interrupted time series datasets from studies investigating the impact of interventions or exposures in public health and social science: A data note. BMC Research Notes 18(1):32,1-4: 2025. Link |
| Rezaei-Darzi E, Grantham KL, Forbes AB, Kasza J. Inference for the treatment effect in staircase designs with continuous outcomes: a simulation study. BMC Med Res Methodol 127: 2025. Link |
| Cribb L, Moreno-Betancur M, Wu Z, Wolfe R, Pase M, Ryan J. Moving beyond the prevalent exposure design for causal inference in dementia research. Lancet Healthy Longevity. 6(2):100675: 2025. Link |
| Turner SL, Karahalios A, Korevaar E, McKenzie JE. The Banksia plot: a method for visually comparing point estimates and confidence intervals across datasets. Journal of Clinical Epidemiology 177:111591,1-9: 2025. Link |
| Rezaei‐Darzi E, Kasza J, Assifi AR, Mazza D, Forbes AB, Grantham KL. Identifying Less Burdensome and More Cost‐Efficient Incomplete Stepped Wedge Designs for Continuous Outcomes Collected via Repeated Cross‐Sections. Statistics in Medicine 44:e70067: 2025. Link |
| Watson JA, Mehdipour P, Moss R, Jittamala P, Zaloumis S, Price DJ, Dini S, Hanboonkunupakarn B, Leungsinsiri P, Poovorawan K, Chotivanich K, Bancone G, Commons RJ, Day NPJ, Pukrittayakamee S, Taylor WRJ, White NJ, Simpson JA Within-host modelling of primaquine-induced haemolysis in hemizygote glucose-6-phosphate dehydrogenase deficient healthy volunteers. Antimicrobial Agents and Chemotherapy 69:e01549-24: 2025. Link |
| Grantham KL, Forbes AB, Hooper RL, Kasza J. The relative efficiency of staircase and stepped wedge cluster randomised trial designs. Statistical Methods in Medical Research : 2025. Link |
| Xu J, De Silva AP, Lee KJ, Mahar RK, Simpson JA. Optimising dynamic treatment regimens using sequential multiple assignment randomised trials data with missing data.. BMC Med Res Methodol 25(1):162.: 2025. Link |
| McKenzie JE, Taljaard M, Hemming K, Arnup SJ, Giraudeau B, Eldridge S, Hooper R, Kahan BC, Li T, Moher D, Turner EL, Grimshaw JM, Forbes AB. Reporting of cluster randomised crossover trials: extension of the CONSORT 2010 statement with explanation and elaboration. British Medical Journal 388:e080472: 2025. Link |
| Hemming K, Thompson JY, Hooper RL, Ukoumunne OC, Li F, Caille A, Kahan BC, Leyrat C, Grayling MJ, Mohammed NI, Thompson JA, Giraudeau B, Turner EL, Watson SI, Goulão B, Kasza J, Forbes AB, Copas AJ, Taljaard M. Guidelines for the content of statistical analysis plans in clinical trials: protocol for an extension to cluster randomized trials. Trials 26:72: 2025. Link |
| Downes M, O'Connor M, Olsson CA, Burgner D, Goldfeld S, Spry EA, Patton G, Moreno-Betancur M. Causal inference in multi-cohort studies using the target trial framework to identify and minimize sources of bias.. Am J Epidemiol 3;194(9):2685-2697: 2025. Link |
| Carlin JB, Moreno-Betancur M. On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching. Stat Med Jun;44(13-14):e10244: 2025. Link |
| Dashti SG, Lee KJ, Simpson JA, Carlin JB, Moreno-Betancur M. Handling Multivariable Missing Data in Causal Mediation Analysis Estimating Interventional Effects. Epidemiology 1;36(4):487-499: 2025. Link |
| Wijesuriya R, Moreno-Betancur M, Carlin JB, White IR, Quartagno M, Lee KJ. Multiple Imputation for Longitudinal Data: A Tutorial. Stat Med 10;44(3-4):e10274: 2025. Link |
| Ellul S, Vansteelandt S, Carlin JB, Moreno-Betancur M. Causal Machine Learning Methods and Use of Cross-Fitting in Settings With High-Dimensional Confounding. Stat Med 44(20-22):e70272: 2025. Link |
| Zaloumis SG, Rajasekhar M, Simpson JA. How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms. Malaria J 24:242: 2025. Link |
| Chotsiri P, Yodsawat P, Hoglund RM, Simpson JA, Tarning J. Pharmacometric and statistical considerations for dose optimization. CPT Pharmacometrics Syst Pharmacol 14:279-291: 2025. Link |
| Mainzer RM, Nguyen CD, Carlin JB, Moreno-Betancur M, White IR, Lee KJ. A comparison of strategies for selecting auxiliary variables for multiple imputation. Biometrical Journal. 66(1), pp. 18-: 2024. Link |
| Ryan EG, Gao CX, Grantham KL, Thao LTP, Charles-Nelson A, Bowden R, Herschtal A, Lee KJ, Forbes AB, Heritier S, Phillipou A, Wolfe R. Advancing randomized controlled trial methodologies: The place of innovative trial design in eating disorders research. International Journal of Eating Disorders. 57(6):1337-1349: 2024. Link |
| Selman C, Lee KJ and Mahar R. Statistical analyses of ordinal outcomes in randomised controlled trials: a scoping review. Trials. 25:241 2024. Link |
| Thao LTP, Wolfe R, Heritier S, Geskus R. Handling missing disease information in diseases that need two visits to diagnose. Statistics in Medicine. 43(9):1708–1725: 2024. Link |
| Zhang J, Dashti SG, Carlin JB, Lee KJ, Moreno-Betancur M. Recoverability and estimation of causal effects under typical multivariable missingness mechanisms. Biometrical Journal. 66(3), pp. 27-.: 2024. Link |
| Hooper R, Quintin O, Kasza J. Efficient designs for three-sequence stepped wedge trials with continuous recruitment. Clinical Trials. 0:0 2024. Link |
| Hemming K, Copas A, Forbes A, Kasza J. What type of cluster randomized trial for which setting?. Journal of Epidemiology and Population Health. 72:202195: 2024. Link |
| Caille A, Billot L, Kasza J. Practical and methodological challenges when conducting a cluster randomized trial: examples and recommendations. Journal of Epidemiology and Population Health. 72:202199.: 2024. Link |
| Grantham KL, Forbes AB, Hooper R, Kasza J. The staircase cluster randomised trial design: a pragmatic alternative to the stepped wedge. Statistical Methods in Medical Research. 33:24-41.: 2024. Link |
| Descallar J, Ma J, Zhu H, Heritier S, Wolfe R. Cause-specific hazard Cox models with partly interval censoring – Penalized likelihood estimation using Gaussian quadrature. Statistical Methods in Medical Research. 0:0 2024. Link |
| Tully MK, Dini S, Flegg JA, McCarthy JS, Price DJ, Simpson JA. Evaluation of a Bayesian hierarchical pharmacokinetic-pharmacodynamic model for predicting parasitological outcomes in Phase 2 studies of new antimalarial drugs. Antimicrob Agents Chemother. Sep 4;68(9):e0086324: 2024. Link |
| Salim A, Brakenridge CJ, Lekamlage DH, Howden E, Grigg R, Dillon HT, Bondell HD, Simpson JA, Healy GN, Owen N, Dunstan DW, Winkler EAH. Detection of sedentary time and bouts using consumer-grade wrist-worn devices: a hidden semi-Markov model. BMC Medical Research Methodology. Sep 30;24(1):222: 2024. Link |
| Nguyen P, Turner S, Korevaar E, Forbes AB, Page M, McKenzie J. Investigation of reporting bias in interrupted time series (ITS) studies: a study protocol. F1000Research 13, 153. : 2024. Link |
| Hemming K, Thompson JY, Taljaard M, Watson SI, Kasza J, Thompson JA, Kahan BC, Copas AJ. Re-analysis of data from cluster randomised trials to explore the impact of model choice on estimates of odds ratios: study protocol. Trials 25:818: 2024. Link |
| Billot L, Copas A, Leyrat C, Forbes AB, Turner E. How should a cluster randomized trial be analyzed?. Journal of Epidemiology and Population Health Feb;72(1):202196: 2024. Link |
| Lange KM, Sullivan TR, Kasza J, Yelland LN. Performance of mixed effects models and generalized estimating equations for continuous outcomes in partially clustered trials including both independent and paired data. Statistics in Medicine 43:4819-4835: 2024. Link |
| Ouyang Y, Taljaard M, Forbes AB, Li F. Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures. Statistical Methods in Medical Research 33(9), 1497-1516: 2024. Link |
| Kasza J, Wan YI. Unravelling the effect of anaesthesia provider sex on patient outcomes: statistical analyses for sound conclusions. British Journal of Anaesthesia 133:483-485: 2024. Link |
| Dashti SG, Lee KJ, Simpson JA, White IR, Carlin JB, Moreno-Betancur M. Handling missing data when estimating causal effects with targeted maximum likelihood estimation. American Journal of Epidemiology pp. 12-: 2024. Link |
| Bowden R, Kasza J, Forbes AB. A simple and effective method for simulating nested exchangeable correlated binary data for longitudinal cluster randomised trials. BMC Med Res Methodol 174: 2024. Link |
| Mainzer RM, Moreno-Betancur M, Nguyen CD, Simpson JA, Carlin JB, Lee KJ. Gaps in the usage and reporting of multiple imputation for incomplete data: findings from a scoping review of observational studies addressing causal questions. BMC Med Res Methodol 4;24(1):193: 2024. Link |
| Shepherd DA, Amor DJ, Moreno-Betancur M. Statistical analysis of observational studies in disability research. Dev Med Child Neurol 66(11):1408-1418: 2024. Link |
| Kanukula R, McKenzie JE, Bero L, Dai Z, McDonald S, Kroeger CM, Korevaar E, Forbes A, Page MJ. Investigation of bias due to selective inclusion of study effect estimates in meta-analyses of nutrition research. Res Synth Methods 15(4):524-542: 2024. Link |
| Korevaar E, Turner SL., Forbes AB., Karahalios A., Taljaard M, McKenzie JE. Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study. BMC Medical Research Methodology. 24, 31: 2024. Link |
| Long E, Lee KJ, Davidson A, Babl F. Adaptive platform trials rather than randomised controlled trials for paediatric sepsis. Emergency Medicine Australasia. 36(3); 488-490: 2024. Link |
| Lusa L, Huebner M, Schmidt CO, Lee KJ, le Cessie S, Baillie M, Lawrence F, Proust-Lima C. Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis. PLOS One. 19(5): e0295726: 2024. Link |
| Middleton M, Nguyen C, Carlin JB, Moreno-Betancur M, Lee KJ. On the use of multiple imputation to address data missing by design as well as unintended missing data in case-cohort studies with a binary endpoint. BMC Medical Research Methodology. 23(1):13 2023. Link |
| Shepherd DA, Baer BR, Moreno-Betancur M. Confounding-adjustment methods for the causal difference in medians. BMC Medical Research Methodology. 23(1):288: 2023. Link |
| Moreno-Betancur M, Lynch JW, Pilkington R, Schuch H, Gialamas A, Sawyer M, Chittleborough C, Schurer S, Gurrin L. Emulating a target trial of intensive nurse home-visiting in the policy-relevant population using linked administrative data. International Journal of Epidemiology. 52:119–131 2023. Link |
| Turner SL, Korevaar E, Cumpston MS, Kanukula R, Forbes AB, McKenzie JE. Effect estimates can be accurately calculated with data digitally extracted from interrupted time series graphs. Research Synthesis Methods. 14, 4:622-638 17 2023. Link |
| Yelland LN, Louise J, Kahan BC, Morris TP, Lee KJ and Sullivan TR. Handling misclassified stratification variables in the analysis of randomised trials with continuous outcomes. Statistics in Medicine. 42(19):3529-3546 2023. Link |
| Hinman RS, Kasza J. Research note: Non-inferiority trials. Journal of Physiotherapy. 69:129-132 2023. Link |
| Lange KM, Kasza J, Sullivan TR, Yelland LN. Partially clustered designs for clinical trials: unifying existing designs using consistent terminology. Clinical Trials. 20:99-110. 2023. Link |
| Rezaei-Darzi E, Grantham K, Forbes AB, Kasza J. The impact of iterative removal of low-information cluster-period cells from a stepped wedge design. BMC Medical Research Methodology. 23:160 2023. Link |
| Teerenstra S, Kasza J, Leontjevas R, Forbes AB. Sample size for partially nested designs and other nested or crossed designs with a continuous outcome when adjusted for baseline. Statistics in Medicine. Accepted 2023-05-31: 2023. Link |
| Zhang J, Dashti S, Carlin JB, Lee KJ, Moreno-Betancur M. Should multiple imputation be stratified by exposure group when estimating causal effects via outcome regression in observational studies? . BMC Medical Research Methodology. 23(1): 11: 2023. Link |
| Lee KJ, Carlin JB, Simpson JA, Moreno-Betancur M. Assumptions and analysis planning in studies with missing data in multiple variables: moving beyond the MCAR/MAR/MNAR classification.. International Journal Of Epidemiology. 8: 2023. Link |
| Mainzer R, Moreno-Betancur M, Nguyen C, Simpson JA, Carlin JB, Lee KJ. Handling of missing data with multiple imputation in observational studies that address causal questions: protocol for a scoping review. BMJ Open. 13(2): 6: 2023. Link |
| Selman CJ, Lee KJ, Whitehead CL, Manley BJ, Mahar RK. Statistical analyses of ordinal outcomes in randomised controlled trials: protocol for a scoping review. Trials. 24(1): 7: 2023. Link |
| Hansford HJ, [...]Moreno-Betancur M et al. Development of the TrAnsparent ReportinG of observational studies Emulating a Target trial (TARGET) guideline. BMJ Open. 13:e074626: 2023. Link |
| Hansford HJ, [...], Moreno-Betancur M et al. Reporting of Observational Studies Explicitly Aiming to Emulate Randomized Trials: A Systematic Review. JAMA Network Open. 6(9): e2336023: 2023. Link |
| Heinze G, Boulesteix A, Dunkler D, Gil MH, Lee KJ, Calster B, Wallace M, Sauerbrei W. STRengthening Analytical Thinking for Observational Studies (STRATOS): Guidance for analysts with limited statistical knowledge. Biometric Bulletin. 40(1): 2023. Link |
| Kasza J, Bowden R, Ouyang Y, Taljaard M, Forbes AB. Does it decay? Obtaining decaying correlation parameter values from previously analysed cluster randomised trials. Stat Methods Med Res 32(11):2123-2134: 2023. Link |
| Li F, Kasza J, Turner EL, Rathouz PJ, Forbes AB, Preisser JS. Generalizing the information content for stepped wedge designs: A marginal modeling approach. Scandinavian Journal of Statistics. 3:1048-1067 2023. Link |
| Roydhouse J, Floden L., Braat S, Grobler A, Kochovska S, Currow DC, & Bell ML. Missing data in palliative care research: estimands and estimators. BMJ Supportive & Palliative Care. 12:464-470 2022. Link |
| Kasza J, Bowden R, Hooper R, Forbes AB. The batched stepped wedge design: A design robust to delays in cluster recruitment. Statistics in Medicine. 41:3627–3641. 2022. Link |
| Grantham K, Kasza J, Heritier S, Carlin JB, Forbes AB. Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster randomized trials with a small number of clusters. BMC Medical Research Methodology. 22:112 2022. Link |
| Lô SN, Ma J, Manuguerra M, Moreno-Betancur M, Scolyer RA, Thompson JF. Competing risks analysis with missing cause-of-failure-penalized likelihood estimation of cause-specific Cox models. Statistical Methods in Medical Research. 31(5):978-994: 2022. Link |
| Wijesuriya, R, Moreno-Betancur, M, Carlin, J, De Silva, AP, Lee, KJ. Multiple imputation approaches for handling incomplete three-level data with time-varying cluster-memberships. Statistics in Medicine. :1-18 2022. Link |
| Jachno K, Heritier S, Woods RL, Mahady S, Chan AT, Tonkin A, Murray A, McNeil JJ, Wolfe R. Examining evidence of time-dependent treatment effects: an illustration using regression methods. Trials. 23:857 2022. Link |
| Li F, Kasza J, Turner EL, Rathouz PJ, Forbes AB, Preisser JS. Generalizing the information content for stepped wedge designs: a marginal modelling approach. Scandinavian Journal of Statistics. :1-20 2022. Link |
| Dashti SG, Mundy L, Goddings AL, Canterford L, Viner RM, Carlin JB, Patton G, Moreno-Betancur M. Modelling timing and tempo of adrenarche in a prospective cohort study. PLOS One. 17(12):e0278948 2022. Link |
| Rezaei-Darzi E, Kasza J, Forbes AB, Bowden R. Use of information criteria for selecting a correlation structure for longitudinal cluster randomised trials. Clinical Trials. 19:316-325 2022. Link |
| Braat S, Lee KJ. Left in the dark: the importance of publicly available clinical trial protocols. Medical Journal of Australia. 217(10): 519-519: 2022. Link |
| Yelland LN, Scurrah KJ, Ferreira P, Calais-Ferreira L, Rankin M, Denton J, Harvey M, Lee KJ, Kendal E and Craig JM. Conducting Clinical Trials in Twin Populations: A Review of Design, Analysis, Recruitment and Ethical Issues for Twin-Only Trials. Twin Research and Human Genetics. 24(6):359-364: 2022. Link |
| O'Connor M, Spry E, Patton G, Moreno-Betancur M, Arnup S, Downes M, Goldfeld S, Burgner D, Olsson C Better together: Advancing life course research through multi-cohort analytic approaches. Advances in Life Course Research. 53: 12: 2022. Link |
| O'Connor M, Moreno-Betancur M, Goldfeld S, Wake M, Patton G, Dwyer T, Tang M, Saffery R, Craig J, Loke J, Burgner D, et al. Data Resource Profile: Melbourne Children's LifeCourse initiative (LifeCourse). International Journal of Epidemiology. 51(5): E229-E244: 2022. Link |
| Wijesuriya R, Moreno Betancur M, Carlin JB, DeSilva A, Lee KJ. Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data. Biometrical Journal. 64(8):1404–1425 2022. Link |
| Little R, Carpenter J, and Lee KJ. A Comparison of Three Popular Methods for Handling Missing Data: Complete-Case Analysis, Inverse Probability Weighting, and Multiple Imputation. Sociological Methods & Research. Published Online 2022-08-05: 2022. Link |
| Middleton M, Nguyen C, Moreno-Betancur, Carlin JB, and Lee KJ. Evaluation of multiple imputation approaches for handling missing covariate information in a case-cohort study. BMC Medical Research Methodology. 22:87 2022. Link |
| Hainy M, Price DJ, Restif O, Drovandi C. Optimal Bayesian design for model discrimination via classification. Statistics and Computing. 32,2:25 2022. Link |
| Hong W, McLachlan SA, Moore M, Mahar RK. Improving clinical trials using Bayesian adaptive designs: a breast cancer example. BMC Medical Research Methodology. 22(1):133: 2022. Link |
| Grobler AC, Lee KJ, Wong A, Currow DC, Braat S. Handling Missing Data and Drop Out in Hospice/Palliative Care Trials Through the Estimand Framework. Journal of Pain and Symptom Management. 63(4):e431-e439: 2022. Link |
| De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ and Simpson JA. Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: comparison of methods implemented in Stata. Biometrical Journal. 63:354-371 2021. Link |
| Bowden R, Forbes AB, Kasza J. Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored. Statistical Methods in Medical Research. 30:2503-2525: 2021. Link |
| Lee KJ, Tilling K, Cornish RP, Little RJA, Bell ML, Goetghebeur E, Hogan JW, and Carpenter JR on behalf of the STRATOS initiative. Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework. Journal of Clinical Epidemiology. 134:79-88 2021. Link |
| Moreno-Betancur M, Moran P, Becker D, Patton G, Carlin JB. Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators. Statistical Methods in Medical Research. 30(6):1395-1412: 2021. Link |
| Moreno-Betancur M. The Target Trial: A Powerful Device Beyond Well-defined Interventions. Epidemiology. 32(2):291-294: 2021. Link |
| McGuinness MB, Kasza J, Wu Z, Guymer RH. Focus on survival analysis for eye research. Investigative Ophthalmology & Visual Science. 62(6):7: 2021. Link |
| Bowden R, Forbes AB, Kasza J. On the centrosymmetry of treatment effect estimators for stepped wedge and related cluster randomized trial designs. Statistics & Probability Letters. 172: 2021. Link |
| Kasza J, Bowden R, Forbes AB. Information content of stepped wedge designs with unequal cluster‐period sizes in linear mixed models: Informing incomplete designs. Statistics in Medicine. 40:1736-1751 2021. Link |
| Nguyen CD, Carlin JB, Lee KJ. Practical strategies for handling breakdown of multiple imputation procedures. Emerging Themes in Epidemiology. 18, 5: 2021. Link |
| Nguyen CD, Moreno-Betancur M, Rodwell L, Romaniuk H, Carlin JB, Lee KJ. Multiple imputation of semi-continuous exposure variables that are categorized for analysis. Statistics in Medicine. :1-14 2021. Link |
| Zaloumis SG, Whyte JM, Tarning J, Krishna S, McCaw JM, Cao P, White MT, Dini S, Fowkes FJI, Maude RJ, Kremsner P, Dondorp A, Price RN, White NJ, Simpson JA. Development and Validation of an In Silico Decision Tool To Guide Optimization of Intravenous Artesunate Dosing Regimens for Severe Falciparum Malaria Patients. Antimicrobial Agents and Chemotherapy. 65(6):e02346-20: 2021. Link |
| Dini S, Zaloumis SG, Price DJ, Gobeau N, Kümmel A, Cherkaoui M, Moehrle JJ, McCarthy JS, Simpson JA. Seeking an optimal dosing regimen for OZ439/DSM265 combination therapy for treating uncomplicated falciparum malaria. Journal of Antimicrobial Chemotherapy. 76(9):2325–34.: 2021. Link |
| Jachno K, Heritier S, Wolfe R. Impact of a non-constant baseline hazard on detection of time-dependent treatment effects. A simulation study. BMC Medical Research Methodology. 21(177): 2021. Link |
| Chondros P, Ukoumunne O, Gunn J, Carlin JB. When should matching be used in the design of cluster randomized trials?. Statistics in Medicine. :1-14 2021. Link |
| Kasza, J. Research Note: Estimating the complier average causal effect when participants in randomised trials depart from allocated treatment. Journal of Physiotherapy. 67(2):147-149 2021. Link |
| Korevaar E, Kasza J, Taljaard M, Hemming K, Haines T, Turner EL, Thompson JA, Hughes, JP, Forbes AB. Intra-cluster correlations from the CLustered OUtcome Dataset bank to inform the design of longitudinal cluster trials. Clinical Trials. : 2021. Link |
| Mahar R, McGuinness M, Chakraborty B, Carlin JB, Ijzerman M, Simpson JA. A scoping review of studies using observational data to optimise dynamic treatment regimens. BMC Medical Research Methodology 21(1): 2021. Link |
| Mainzer R, Apajee J, Nguyen C, Carlin JB, Lee KJ. A comparison of multiple imputation strategies for handling missing data in multi-item scales: Guidance for longitudinal studies. Statistics in Medicine 40(21):4660-4674 2021. Link |
| McGuinness MB, Kasza J, Guymer RH. Is There a Case for Case-Control Studies in the Exploration of Retrospective Data Sets?. JAMA Ophthalmology 139(3):309-310 2021. Link |
| Myles P, Kasza J, Turner T. Credibility of subgroup findings in clinical trials and meta-analyses. British Journal of Anaesthesia. 127(1):11-14 2021. Link |
| Sullivan T, Yelland L; Moreno-Betancur M; and Lee KJ. Multiple imputation for handing missing outcome data in randomized trials involving a mixture of independent and paired data. Statistics in Medicine. 40,27:6008-6020 2021. Link |
| Brilleman S, Wolfe R, Moreno-Betancur M, Crowther MJ. Simulating survival data using the simsurv R package. Journal of Statistical Software. 97(3):1-27: 2021. Link |
| Wijesuriya R, Moreno-Betancur M, Carlin JB and Lee KJ. Evaluation of approaches for multiple imputation of three-level data. BMC Medical Research Methodology. 20(207): 2020. Link |
| Abramson MJ, Wolfe R. Prediction models in respiratory medicine. Respirology 25(7):666-667: 2020. Link |
| Huque MH, Moreno-Betancur M, Quartagno M, Simpson JA, Carlin JB, Lee KJ. Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model. . Biom J 62(2):444-466 2020. Link |
| Brilleman SL, Elci EM, Buros Novik J, Wolfe R. Bayesian survival analysis using the rstanarm R package. :Published online February 2020. Link |
| Carlin J, Kasza J, Moreno-Betancur, Simpson J, Barlett J, Metcalfe C and Lee KJ. A potpourri of biostatistical research: Special Issue for ISCB ASC 2018. Biometrical Journal 62(2):267-269 2020. Link |
| Kasza J, Hooper R, Copas A, Forbes AB. Sample size and power calculations for open cohort longitudinal cluster randomized trials. Statistics in Medicine 39(13):1871-1883 2020. Link |
| Hemming K, Hughes J, McKenzie J, Forbes AB. Extending the I-squared statistic to describe treatment effect heterogeneity in cluster, multi-centre randomized trials and individual patient data meta-analysis. Statistical Methods in Medical Research : 2020. Link |
| Turner SL, Karahalios A, Forbes AB, Taljaard M, Grimshaw JM, Cheng AC et al. Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: a review. Journal of Clinical Epidemiology 122:1-11 2020. Link |
| Hooper R, Kasza J, Forbes AB. The hunt for efficient, incomplete designs for stepped wedge trials with continuous recruitment and continuous outcome measures. BMC Medical Research Methodology. 20:279 2020. Link |
| Downes M, Carlin J. Multilevel regression and poststratification as a modeling approach for estimating population quantities in large population health studies: A simulation study. Biometrical Journal. 62(2): 2020. Link |
| Li W, Van Wely M, Gurrin L, Mol B. Integrity of randomized controlled trials: challenges and solutions. Fertility and Sterility. 113(6): 2020. Link |
| Grantham K, Forbes AB, Heritier S, Kasza J. Time Parameterizations in Cluster Randomized Trial Planning. The American Statistician. 74(2):184-189 2020. Link |
| Hemming K, Kasza J, Hooper R, Forbes AB, Taljaard M. A tutorial on sample size calculation for multiple-period cluster randomised parallel, cross-over and stepped-wedge trials using the Shiny CRT Calculator. International Journal of Epidemiology : 2020. Link |
| Vlazaki M, Price DJ, Restif O. An experimental design tool to optimize inference precision in data-driven mathematical models of bacterial infections in vivo. Journal of the Royal Society, Interface. 17,173:20200717 2020. Link |
| McGuinness MB, Guymer RH, Simpson JA: Implications of Analysis Unit on Epidemiology of Multimodal Imaging-Defined Reticular Pseudodrusen: When 2 Eyes Are Better Than 1. JAMA Ophthalmology. 138,5:477-478 2020. Link |
| Grobler AC and Lee KJ. Multiple imputation in the presence of an incomplete binary variable created from an underlying continuous variable. Biometrical Journal 15:[Epub ahead of print] 2019. Link |
| Lee KJ, Moreno-Betancur M, Kasza J, Barnett A, Marshner I and Carlin J. Biostatistics: a fundamental discipline for health and medical research in the face of the current data deluge. Medical Journal of Australia 211(10):444-446.e1 2019. Link |
| White IR, Turner RM, Karahalios A, Salanti G. A comparison of arm-based and contrast-based models for network meta-analysis. Statistics in Medicine. 38(27), 5197–5213: 2019. Link |
| Grantham KL, Kasza J, Heritier S, Hemming K, Forbes AB. Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment. Statistics in Medicine 38(11):1918-1934 2019. Link |
| McGuinness MB, Kasza J, Karahalios A, Guymer RH, Finger RP, Simpson JA. A comparison of methods to estimate the survivor average causal effect in the presence of missing data: A simulation study. BMC Medical Research Methodology 19(1):223 2019. Link |
| Grantham KL, Kasza J, Heritier S, Hemming K, Litton E, Forbes AB. How many times should a cluster randomized crossover trial cross over?. Statistics in Medicine 38(25):5021-5033 2019. Link |
| Kasza J, Hemming K, Hooper R, Matthews JNS, Forbes AB. Impact of non-uniform correlation structure on sample size and power in multiple-period cluster randomised trials. Statistical Methods in Medical Research 28(3):703-716 2019. Link |
| Kasza J, Forbes AB. Inference for the treatment effect in multiple-period cluster randomised trials when random effect correlation structure is misspecified. Statistical Methods in Medical Research 28(10-11):3112-3122 2019. Link |
| Kasza J, Forbes A. Information content of cluster-period cells in stepped wedge trials. Biometrics 75(1):144-152 2019. Link |
| Kasza J, Taljaard M, Forbes AB. Information content of stepped-wedge designs when treatment effect heterogeneity and/or implementation periods are present. Statistics in Medicine 38(23):4686-4701 2019. Link |
| Mittinty MN, Lynch JW, Forbes AB, Gurrin LC. Effect decomposition through multiple causally nonordered mediators in the presence of exposure-induced mediator-outcome confounding. Statistics in Medicine 38(26):5085-5102 2019. Link |
| Li F, Forbes AB, Turner EL, Preisser JS. Power and sample size requirements for GEE analyses of cluster randomized crossover trials. Statistics in Medicine 38(4):636-649 2019. Link |
| Hemming K, Carroll K, Thompson J, Forbes A, Taljaard M, The SW-CRT Review Group. Quality of stepped-wedge trial reporting can be reliably assessed using an updated CONSORT: crowd-sourcing systematic review. Journal of Clinical Epidemiology 107:77-88 2019. Link |
| Jachno K, Heritier S, Wolfe R. Are non-constant rates and non-proportional treatment effects accounted for in the design and analysis of randomised controlled trials? A review of current practice. BMC Medical Research Methodology 19(1):103 2019. Link |
| Brilleman SJ, Crowther MJ, Moreno-Betancur M, Novik JB, Dunyak J, Al-Hiniti N et al. Joint longitudinal and time-to-event models for multilevel hierarchical data. Statistical Methods in Medical Research 28(12):3502-3515 2019. Link |
| Porgo T, Norris S, Salanti G, Johnson L, Simpsons J, Low N, Egger M, Althaus C. The use of mathematical modeling studies for evidence synthesis and guideline development: A glossary. Research Synthesis Methods 10(1): 2019. Link |
| Turner S, Karahalios A, Forbes AB, Taljaard M, Grimshaw J, Cheng A, Bero L, McKenzie J. Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: protocol for a review. BMJ Open 9(1):e024096 2019. Link |
| Latouche A, Andersen PK, Rey G, Moreno-Betancur M. A note on the measurement of socioeconomic inequalities in life years lost by cause of death. Epidemiology 30(4):569-572 2019. Link |
| Brilleman SL, Moreno-Betancur M, Polkinghorne KR, McDonald SP, Crowther MJ, Thomson J, Wolfe R. Longitudinal changes in body mass index and the competing outcomes of death and transplant in patients undergoing hemodialysis: a latent class joint modelling . Epidemiology 30(1):38-47: 2019. Link |
| De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ and Simpson JA. Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study. BMC Medical Research Methodology 19(1):14: 2019. Link |
| Moreno-Betancur M Carlin JB. Understanding interventional effects: a more natural approach to mediation analysis?. Epidemiology. 29:614-617 2018. Link |
| Moreno-Betancur M., Lee K. J., Leacy F. P., White I. R., Simpson J. A., Carlin J. B. Canonical Causal Diagrams to Guide the Treatment of Missing Data in Epidemiological Studies. Am J Epidemiol : 2018. Link |
| Downes M Gurrin LC English DR Pirkis J Currier D Spittal MJ Carlin JB. Multilevel Regression and Poststratification: A Modeling Approach to Estimating Population Quantities From Highly Selected Survey Samples. American Journal of Epidemiology 187:1780-1790 2018. |
| Nguyen C. D., Strazdins L., Nicholson J. M., Cooklin A. R. Impact of missing data strategies in studies of parental employment and health: Missing items, missing waves, and missing mothers. Social Science & Medicine. 209:160-168 2018. Link |
| Page M. J., Altman D. G., McKenzie J. E., Shamseer L., Ahmadzai N., Wolfe D., Yazdi F., Catala-Lopez F., Tricco A. C., Moher D. Flaws in the application and interpretation of statistical analyses in systematic reviews of therapeutic interventions were common: a cross-sectional analysis. J Clin Epidemiol 95:7-18 2018. |
| Page M. J., Altman D. G., Shamseer L., McKenzie J. E., Ahmadzai N., Wolfe D., Yazdi F., Catala-Lopez F., Tricco A. C., Moher D. Reproducible research practices are underused in systematic reviews of biomedical interventions. J Clin Epidemiol 94:8-18 2018. |
| Herbert RD, Kasza J, Bo K. Analysis of randomised trials with long-term follow-up. MC Medical Research Methodology 18(1):48 2018. Link |
| Page M. J., McKenzie J. E., Higgins J. P. T. Tools for assessing risk of reporting biases in studies and syntheses of studies: a systematic review. BMJ Open 8:e019703 2018. Link |
| Price DJ Bean NG Ross JV Tuke J. , Link: https://doi.org/10.1016/j.csda.2018.04.011 An Induced Natural Selection Heuristic for Finding Optimal Bayesian Experimental Designs.. Computational Statistics & Data Analysis 126:112-124 2018. Link |
| Rezvan P Lee KJ Simpson JA Sensitivity analysis within multiple imputation framework using delta-adjustment: Application to longitudinal study of Australian children.. Longitudinal and Life Course Studies 9:259-278 2018. Link |
| Huque M, Carlin J, Simpson J, Lee K. A comparison of multiple imputation methods for missing data in longitudinal studies. BMC Medical Research Methodology 18: 2018. Link |
| Moreno-Betancur M, Carlin J, Brilleman S, Tanamas S, Peeters A, Wolfe R. Survival analysis with time-dependent covariates subject to missing data or measurement error: Multiple Imputation for Joint Modeling (MIJM). Biostatistics 19(4): 2018. Link |
| Tompsett D, Leacy F, Moreno-Betancur M, Heron J, White I. On the use of the not-at-random fully conditional specification (NARFCS) procedure in practice. Statistics in Medicine 37(15): 2018. Link |
| Sullivan T. R., White I. R., Salter A. B., Ryan P., Lee K. J. Should multiple imputation be the method of choice for handling missing data in randomized trials?. Stat Methods Med Res 27:2610-2626 2018. Link |
| De Livera A Olshansky G Creek D Simpson JA. NormalizeMets: assessing, selecting and implementing statistical methods for normalizing metabolomics data. . Metabolomics 14:54 2018. |
| Moreno-Betancur M, Koplin J, Ponsonby A-L, Lynch J, Carlin JB Measuring the impact of differences in risk factor distributions on cross-population differences in disease occurrence: a causal approach. International Journal of Epidemiology 47(1): 217-225. : 2018. |
| De Silva A. P., Moreno-Betancur M., De Livera A. M., Lee K. J., Simpson J. A. A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study. BMC Med Res Methodol 17:114 2017. Link |
| Moreno-Betancur M, Sadaoui H, Piffaretti C, Rey G Survival analysis with multiple causes of death: Extending the competing risks model (Epub ahead of print on June 29, 2016). Epidemiology 28:12-19 2017. Link |
| Morgan K. E., Forbes A. B., Keogh R. H., Jairath V., Kahan B. C. Choosing appropriate analysis methods for cluster randomised cross-over trials with a binary outcome. Stat Med 36:318-333 2017. Link |
| Nguyen C. D., Carlin J. B., Lee K. J. Model checking in multiple imputation: an overview and case study. Emerg Themes Epidemiol 14:8 2017. Link |
| Gelman A Carlin JB Some natural solutions to the p-value communication problem - and why they won't work.. J Am Stat Assoc. 112:899-901 2017. |
| Yelland L. N., Sullivan T. R., Price D. J., Lee K. J. Sample size calculations for randomised trials including both independent and paired data. Stat Med 36:1227-1239 2017. Link |
| Oates C. J., Kasza J., Simpson J. A., Forbes A. B. Repair of Partly Misspecified Causal Diagrams. Epidemiology 28:548-552 2017. |
| Karahalios A. E., Salanti G., Turner S. L., Herbison G. P., White I. R., Veroniki A. A., Nikolakopoulou A., McKenzie J. E. An investigation of the impact of using different methods for network meta-analysis: a protocol for an empirical evaluation. Syst Rev 6:119 2017. Link |
| Hemming K., Taljaard M., Forbes A. Analysis of cluster randomised stepped wedge trials with repeated cross-sectional samples. Trials 18:101 2017. Link, Link |
| Kasza J., Wolfe R., Schuster T. Assessing the impact of unmeasured confounding for binary outcomes using confounding functions. Int J Epidemiol : 2017. Link |
| Sauerbrei W Huebner M Collins GS Lee KJ Freedman L Gail M. Goetghebeur E Rahnenfuehrer J Abrahamowicz M on behalf of the STRATOS initiative. STRATOS initiative - Guidance for designing and analysing observational studies.. Biometric Bulletin 3:18-20 2017. |
| Lee K. J., Carlin J. B. Multiple imputation in the presence of non-normal data. Stat Med 36:606-617 2017. Link, Link |
| Simmonds M., Salanti G., McKenzie J., Elliott J. Living systematic reviews: 3. Statistical methods for updating meta-analyses. J Clin Epidemiol 91:38-46 2017. |
| Lewin S., Hendry M., Chandler J., Oxman A. D., Michie S., Shepperd S., Reeves B. C., Tugwell P., Hannes K., Rehfuess E. A., Welch V., McKenzie J. E., Burford B., Petkovic J., Anderson L. M., Harris J., Noyes J. Assessing the complexity of interventions within systematic reviews: development, content and use of a new tool (iCAT_SR). BMC Med Res Methodol 17:76 2017. Link |
| Lunny C., Brennan S. E., McDonald S., McKenzie J. E. Toward a comprehensive evidence map of overview of systematic review methods: paper 1-purpose, eligibility, search and data extraction. Syst Rev 6:231 2017. Link |
| Sullivan T. R., Lee K. J., Ryan P., Salter A. B. Multiple imputation for handling missing outcome data when estimating the relative risk. BMC Med Res Methodol 17:134 2017. Link |
| Arnup S. J., McKenzie J. E., Hemming K., Pilcher D., Forbes A. B. Understanding the cluster randomised crossover design: a graphical illustraton of the components of variation and a sample size tutorial. Trials 18:381 2017. |
| Sullivan T. R., Yelland L. N., Lee K. J., Ryan P., Salter A. B. Treatment of missing data in follow-up studies of randomised controlled trials: A systematic review of the literature. Clin Trials :1740774517703319 2017. Link |
| Carpenter J Lee KJ on behalf of STRATOS TG1 STRenghtening the analysis of observational studies (STRATOS): Introducing the missing data topic group (TG1). Biometric Bulletin 34:11-13 2017. |
| Sullivan TR Yelland LN Lee KJ Ryan P Salter AB. Treatment of missing data in follow-up studies of randomised controlled trials: a systematic review of the literature.. Clinical Trials 14:387-395 2017. |
| Moher D., Galipeau J., Alam S., Barbour V., Bartolomeos K., Baskin P., Bell-Syer S., Cobey K. D., Chan L., Clark J., Deeks J., Flanagin A., Garner P., Glenny A. M., Groves T., Gurusamy K., Habibzadeh F., Jewell-Thomas S., Kelsall D., Lapena J. F. Jr., MacLehose H., Marusic A., McKenzie J. E., Shah J., Shamseer L., Straus S., Tugwell P., Wager E., Winker M., Zhaori G. Core competencies for scientific editors of biomedical journals: consensus statement. BMC Med 15:167 2017. Link |
| Wolfe R., Abramson M. J. An epilogue to the review series on modern statistical methods in respiratory medicine. Respirology 21:580 2016. Link |
| Oates C. J., Kasza J., Mukherjee Sach Discussion of "Causal inference by using invariant prediction: identification and confidence intervals" by Peters, Buhlmann and Meinshausen. Journal of the Royal Statistical Society. Series B (Statistical Methodology) 78:1003 2016. |
| Greenland S., Senn S.J., Rothman K.J., Carlin J.B., Poole C., Goodman S.N., Altman D.G. Statistical tests, P values, confidence intervals, and power: A guide to misinterpretations.. Eur J Epidemiol. 31:337-350 2016. Link |
| Page M. J., Forbes A., Chau M., Green S. E., McKenzie J. E. Investigation of bias in meta-analyses due to selective inclusion of trial effect estimates: empirical study. BMJ Open 6:e011863 2016. Link |
| Pang M., Schuster T., Filion K.B., Eberg M., Platt R. W. Targeted Maximum Likelihood Estimation for Pharmacoepidemiological Research. Epidemiology 27:570-577 2016. Link |
| Lamb Karen E, Olstad Dana Lee , Nguyen Cattram , Milte Catherine, McNaughton Sarah A Missing data in food frequency questionnaires: making assumptions about item non-response. Public Health Nutrition : 2016. |
| Piffaretti C, Moreno-Betancur M, Lamarche-Vadel A, Rey G. Quantifying cause-related mortality by weighting multiple causes of death. Bulletin of the World Health Organization. :94:870-879B. DOI: 10.2471/BLT.16.172189 2016. Link |
| Lee KJ Roberts G Doyle LW Anderson PJ Carlin JB. Multiple imputation for missing outcome data in a longitudinal cohort study: a detailed case study with guidance for practice.. International Journal of Social Research Methodology 19:575-591 2016. |
| Simpson J.A., Forbes A., Wolfe R., Gurrin L.C., Lee K.J., Schuster T., Vukcevic D., Kasza J., Moreno-Betancur M., Zaloumis S., DeLivera A., Nguyen C.D., Karahalios A., McKenzie J., Milanzi E., Carlin J.B. Upskilling the epidemiological workforce with advanced biostatistics training: the ViCBiostat Summer School.. Australasian Epidemiological Association Journal 23:27-29 2016. |
| Arnup S. J., Forbes A. B., Kahan B. C., Morgan K. E., McKenzie J. E. Appropriate statistical methods were infrequently used in cluster-randomized crossover trials. J Clin Epidemiol 74:40-50 2016. |
| McKenzie J. E., Herbison G. P., Deeks J. J. Impact of analysing continuous outcomes using final values, change scores and analysis of covariance on the performance of meta-analytic methods: a simulation study. Res Synth Methods 7:371-386 2016. Link, Link |
| Arnup S. J., Forbes A. B., Kahan B. C., Morgan K. E., McKenzie J. E. The quality of reporting in cluster randomised crossover trials: proposal for reporting items and an assessment of reporting quality. Trials 17:575 2016. |
| Lunny C., McKenzie J. E., McDonald S. Retrieval of overviews of systematic reviews in MEDLINE was improved by the development of an objectively derived and validated search strategy. J Clin Epidemiol 74:107-18 2016. Link |
| McKenzie J. E., Beller E. M., Forbes A. B. Introduction to systematic reviews and meta-analysis. Respirology 21:626-37 2016. Link |
| Forbes A. B., Akram M., Pilcher D., Cooper J., Bellomo R. Cluster randomised crossover trials with binary data and unbalanced cluster sizes: application to studies of near-universal interventions in intensive care. Clin Trials 12:34-44 2015. Link |
| Wolfe R., Carlin J.B. Statistical models for respiratory disease diagnosis and prognosis.. Respirology. 20:541-547 2015. Link |
| Rezvan P.H., White I.R., Lee J.K.F., Carlin J.B., Simpson J. Evaluation of a weighting approach for performing sensitivity analysis after multiple imputation.. BMC Medical Research Methodology 15:83 2015. Link, Link |
| Austin P. C., Schuster T., Platt R. W. Statistical power in parallel group point exposure studies with time-to-event outcomes: an empirical comparison of the performance of randomized controlled trials and the inverse probability of treatment weighting (IPTW) approach. BMC Med Res Methodol 15:87 2015. Link, Link |
| Kasza Jessica Stata tip 125: Binned residual plots for assessing the fit of regression models for binary outcomes. Stata Journal 15:599-604 2015. |
| De Livera A. M., Sysi-Aho M., Jacob L., Gagnon-Bartsch J. A., Castillo S., Simpson J. A., Speed T. P. Statistical Methods for Handling Unwanted Variation in Metabolomics Data. Anal Chem : 2015. Link, Link |
| Hayati Rezvan P., Lee K. J., Simpson J. A. The rise of multiple imputation: a review of the reporting and implementation of the method in medical research. BMC Med Res Methodol 15:30 2015. Link, Link |
| Page M. J., McKenzie J. E., Chau M., Green S. E., Forbes A. Methods to select results to include in meta-analyses deserve more consideration in systematic reviews. J Clin Epidemiol 68:1282-91 2015. Link |
| Herbison P., Robertson M. C., McKenzie J. E. Do alternative methods for analysing count data produce similar estimates? Implications for meta-analyses. Syst Rev 4:163 2015. Link, Link |
| Kahan B. C., Forbes A. B., Dore C. J., Morris T. P. A re-randomisation design for clinical trials. BMC Med Res Methodol 15:96 2015. Link, Link |
| Lawrie J., Carlin J.B. , Forbes A. Optimal stepped wedge designs.. Statistics and Probability Letters. 99:210-214 2015. |
| Lamb K.E., Williamson E.J., Coory M., Carlin J.B. Bias and precision of measures of survival gain from right-censored data.. Pharmaceutical Statistics. 14:409-417 2015. Link, Link |
| Rezvan PH Lee KJ Simpson JA. The rise of multiple imputation: A review of the reporting and implementation of the method in medical research.. BMC Med Res Methodol 15:30 2015. Link |
| Lee K.J., Roberts G., Doyle L.W., Anderson P.J., Carlin J.B. Multiple imputation for missing outcome data in a longitudinal cohort study: A detailed case study with guidane for practice.. Int J Social Research Methodology. In press.: 2015. |
| Spittal Matthew J, Pirkis Jane, Gurrin Lyle C Meta-analysis of incidence rate data in the presence of zero events. BMC medical research methodology 15:1 2015. Link |
| Nguyen C.D., Lee K.J., Carlin J.B. Posterior predictive checking of multiple imputation models.. Biometrical Journal 57:676-694 2015. Link, Link |
| Sullivan T. R., Salter A. B., Ryan P., Lee K. J. Bias and Precision of the "Multiple Imputation, Then Deletion" Method for Dealing With Missing Outcome Data. Am J Epidemiol 182:528-34 2015. Link |
| Schuster T., Pang M., Platt R. W. On the role of marginal confounder prevalence - implications for the high-dimensional propensity score algorithm. Pharmacoepidemiol Drug Saf 24:1004-7 2015. Link, Link |
| McKenzie J. E., Clarke M. J., Chandler J. Why do we need evidence-based methods in Cochrane?. Cochrane Database Syst Rev 7:ED000102 2015. Link |
| Sophie G. Zaloumis, Katrina J. Scurrah, Stephen B. Harrap, Justine A. Ellis, Lyle C. Gurrin Non‐proportional odds multivariate logistic regression of ordinal family data. Biometrical Journal 57:286-303 2015. Link, Link, Link |
| Yelland L. N., Sullivan T. R., Voysey M., Lee K. J., Cook J. A., Forbes A. B. Applying the intention-to-treat principle in practice: Guidance on handling randomisation errors. Clin Trials 12:418-23 2015. Link, Link |
| Wiest M.M., Lee K.J., Carlin J.B. Statistics for clinicians: An introduction to logistic regression.. J Paediatr Child Health. 51:670-673 2015. Link |
| Williamson E. J., Aitken Z., Lawrie J., Dharmage S. C., Burgess J. A., Forbes A. B. Introduction to causal diagrams for confounder selection. Respirology 19:303-11 2014. Link |
| Williamson E. J., Forbes A. Introduction to propensity scores. Respirology 19:625-35 2014. Link |
| Fahey M. T., Forbes A. B., Hodge A. M. Correcting for the bias caused by exposure measurement error in epidemiological studies. Respirology 19:979-84 2014. Link |
| Williamson E. J., Forbes A., White I. R. Variance reduction in randomised trials by inverse probability weighting using the propensity score. Stat Med 33:721-37 2014. Link |
| Wolfe Rory Abramson M. An introduction to a series of articles on Modern Statistical Methods. Respirology 19:9-13 2014. Link |
| Galati JC, Seaton KA, Lee KJ, Simpson JA, Carlin JB Rounding non-binary categorical variables following multivariate normal imputation: evaluation of simple methods and implications for practice. Journal of Statistical Computation and Simulation 84:798-811 2014. Link |
| Gelman A, Carlin J.B. Beyond power calculations: Assessing type S (sign) and type M (magnitude) errors. . Psychological Science 9:641-651 2014. |
| Wraith Darren, Wolfe Rory Classifying patients by their characteristics and clinical presentations; the use of latent class analysis. Respirology 19:1138-1148 2014. Link |
| Alysha M. De Livera, Sophie Zaloumis, Julie A. Simpson Models for the analysis of repeated continuous outcome measures in clinical trials. Respirology 19:155-161 2014. Link, Link |
| Kasza Jessica, Wraith Darren, Lamb Karen, Wolfe Rory Survival analysis of time‐to‐event data in respiratory health research studies. Respirology 19:483-492 2014. Link |
| Kasza J., Wolfe R. Interpretation of commonly used statistical regression models. Respirology 19:14-21 2014. Link, Link |
| Kloprogge F., Simpson J. A., Day N. P., White N. J., Tarning J. Statistical Power Calculations for Mixed Pharmacokinetic Study Designs Using a Population Approach. AAPS Journal : 2014. Link, Link |
| Lee K.J, Carlin J.B. Fractional polynomial adjustment for time-varying convariates in a self-controlled case series analysis.. Statistics in Medicine 33:105-116 2014. Link, Link |
| Lee Katherine J, Wiest Michelle M, Carlin John B Statistics for clinicians: An introduction to linear regression. Journal of paediatrics and child health 50:940-943 2014. Link |
| Arnup S. J., Forbes A. B., Kahan B. C., Morgan K. E., McDonald S., McKenzie J. E. The use of the cluster randomized crossover design in clinical trials: protocol for a systematic review. Syst Rev 3:86 2014. Link |
| Lee K. J., Simpson J. A. Introduction to multiple imputation for dealing with missing data. Respirology 19:162-7 2014. Link, Link |
| Rodwell L., Lee K.J, Romaniuk H., Carlin J.B. Comparison of methods for imputing limited-range variables: a simulation study.. BMC Medical Research Methodology 14:57 2014. Link, Link |
| Bell M. L., Teixeira-Pinto A., McKenzie J. E., Olivier J. A myriad of methods: calculated sample size for two proportions was dependent on the choice of sample size formula and software. J Clin Epidemiol 67:601-5 2014. |
| Romaniuk H., Patton G., Carlin J.B. Multiple imputation in a longitudinal cohort study: a case study of sensitivity to imputation methods. Am J Epidemiol 180:920-932 2014. Link, Link |
| Mohebbi Mohammadreza, Wolfe Rory, Forbes Andrew Disease mapping and regression with count data in the presence of overdispersion and spatial autocorrelation: a Bayesian model averaging approach. International journal of environmental research and public health 11:883-902 2014. Link |
| Nguyen C.D., Carlin J.B., Lee K.J. Diagnosing problems with imputation models using the Kolmogorov-Smirnov test: a simulation study. BMC Medical Research Methodology 13:144 2013. Link |
| Karahalios A, Baglietto L, Lee K.J., English D.R., Carlin J.B., Simpson J.A. The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study. Emerging Themes in Epidemiology 10:6 2013. Link |
| Kasza Jessica, Moran John Leith, Solomon Patricia Joy Evaluating the performance of Australian and New Zealand intensive care units in 2009 and 2010. Statistics in medicine 32:3720-3736 2013. Link |
| Page M. J., McKenzie J. E., Forbes A. Many scenarios exist for selective inclusion and reporting of results in randomized trials and systematic reviews. J Clin Epidemiol 66:524-37 2013. |
| Kasza Jessica, Solomon Patty Comparing score-based methods for estimating Bayesian networks using the Kullback-Leibler divergence. Communications in Statistics-Theory and Methods : 2013. |
| Page M. J., McKenzie J. E., Green S. E., Forbes A. B. An empirical investigation of the potential impact of selective inclusion of results in systematic reviews of interventions: study protocol. Syst Rev 2:21 2013. Link |
| Jamsen Kris M. , Zaloumis Sophie G. , Scurrah Katrina J., Gurrin Lyle C. Specification of Generalized Linear Mixed Models for Family Data using Markov Chain Monte Carlo Methods. Journal of Biometrics & Biostatistics : 2013. Link, Link |
| Seaman S., Galati J.C., Jackson D., Carlin J.B. What is Meant by ``Missing at Random"?. Statistical Science 28:257-268 2013. |
| Mannan H, Ahmed R, Sanagou M, Ivory S, Wolfe R The methodology of human diseases risk prediction tools. International Journal of Statistics in Medical Research 2:239-248 2013. |
| Bellomo R., Forbes A., Akram M., Bailey M., Pilcher D. V., Cooper D. J. Why we must cluster and cross over. Crit Care Resusc 15:155-7 2013. |
| De Livera Alysha M, Olshansky Moshe, Speed Terence P Statistical analysis of metabolomics data. Metabolomics Tools for Natural Product Discovery: Methods and Protocols :291-307 2013. |
| Williamson EJ, Forbes A., Wolfe R. Doubly robust estimators of causal exposure effects with missing data in the outcome, exposure or a confounder. Statistics in Medicine 31:4382-4400 2012. Link |
| Kasza Jessica, Glonek Gary, Solomon Patty Estimating Bayesian networks for high-dimensional data with complex mean structure and random effects. Australian & New Zealand Journal of Statistics 54:169-187 2012. |
| Karahalios A., Baglietto L., Carlin J.B., English D. R., Simpson J. A review of the reporting and handling of missing data in cohort studies with repeated assessment of exposure measure.. BMC Medical Research Methodology 12:96 2012. Link, Link |
| Lee K. J., Carlin J. B. Recovery of information from multiple imputation: a simulation study. Emerg Themes Epidemiol 9:3 2012. Link |
| Lee K.J., Galati J.C., Simpson J.A., Carlin J.B. Comparison of methods for imputing ordinal data using multivariate normal imputation: a case study of non-linear effects in a large cohort study. Statistics in Medicine 31:4164-4174 2012. Link |