Selected methodological publications from investigators, postdoctoral researchers and PhD students

For full publication listings please see links available via the People page.

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-. doi:10.1002/bimj.202200326: 2024.
Hooper R, Quintin O, Kasza J. Efficient designs for three-sequence stepped wedge trials with continuous recruitment. Clinical Trials. doi: 10.1177/17407745241251780: 2024.
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.
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.
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.
Shepherd DA, Amor D, Moreno-Betancur M. Statistical analysis of observational studies in disability research. Developmental Medicine and Child Neurology (Epub ahead of print 9 May 2024).: 2024.
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 approach. arXiv:2206.11117. DOI: 10.48550/arXiv.2206.11117: 2024.
Dashti SG, Lee KJ, Simpson JA, Carlin JB, Moreno-Betancur M. Handling multivariable missing data in causal mediation analysis. arXiv: 2403.17396. DOI: : 2024.
Wijesuriya R, Moreno-Betancur M, Carlin JB, White IR, Quartagno M, Lee KJ. Multiple imputation for longitudinal data: A tutorial. arXiv: 2404.06967. DOI: : 2024.
Carlin JB, Moreno-Betancur M. On the uses and abuses of regression models: a call for reform of statistical practice and teaching. . arXiv preprint arXiv:2309.06668. : 2024.
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-. doi:10.1093/aje/kwae012: 2024.
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. Accepted 30th May 2024. DOI: 10.1177/09622802241262526: 2024.
Kanukula R, McKenzie JE., Bero L, Dai Z, McDonald S, Kroeger CM, Korevaar E., Forbes AB,. Page MJ. Investigation of bias due to selective inclusion of study effect estimates in meta-analyses of nutrition research. Research Synthesis Methods Accepted/In press: 2024.
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, 1, 21 p., 31: 2024.
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.
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.
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-. doi:10.1002/bimj.202200291: 2024.
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.
Selman C, Lee KJ and Mahar R. Statistical analyses of ordinal outcomes in randomised controlled trials: a scoping review. Trials. 2024.
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; DOI: 10.1002/sim.10038: 2024.
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
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. Accepted 2023-06-09: 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
Jessica Kasza, Rhys Bowden, Yongdong Ouyang, Monica Taljaard, Andrew B Forbes. Does it decay? Obtaining decaying correlation parameter values from previously analysed cluster randomised trials. Statistical Methods in Medical Research. Accepted July 2023: 2023.
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. DOI: 10.1136/ bmjopen-2023-074626: 2023.
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. DOI:10.1001/jamanetworkopen.2023.36023: 2023.
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.
Korevaar E., Turner SL., Forbes AB., Karahalios A., Taljaard M, McKenzie JE. Evaluation of statistical methods used to meta-analyse results from interrupted time series studies: A simulation study. Research Synthesis Methods. 14, 6, p. 882-902 21 p: 2023.
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, p. 1048-1067 20 p.: 2023.
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
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), pp. 13-. doi:10.1186/s12874-023-02090-5: 2023.
Shepherd DA, Baer BR, Moreno-Betancur M. Confounding-adjustment methods for the causal difference in medians. BMC Medical Research Methodology. 23(1):288. DOI: 10.1186/s12874-023-02100-6: 2023.
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
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, p. 622-638 17 p: 2023.
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. doi: 10.1002/sim.9818: 2023.
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
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
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. DOI:10.1371/journal.pone.0278948: 2022.
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
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
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
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
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
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
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
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
McGuinness MB, Kasza J, Wu Z, Guymer RH. Focus on survival analysis for eye research. Investigative Ophthalmology & Visual Science. 62(6):7: 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
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
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:Article number: 207 2020.
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
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. doi: 10.1097/EDE.0000000000001022 2019.
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
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
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: 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.
Moreno-Betancur M Carlin JB. Understanding interventional effects: a more natural approach to mediation analysis?. Epidemiology 29:614-617 2018.
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. Soc Sci Med 209:160-168 2018.
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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, 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.
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.
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
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.