Selected methodological publications from investigators, postdoctoral researchers and PhD students

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

2020
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.
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
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
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
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
2019
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.
Moreno-Betancur, M., Koplin, J. J., Ponsonby, A. L., Lynch, J., & Carlin, J. B. 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: 2019.
Brilleman S, Wolfe R, Moreno-Betancur M, Crowther MJ. Simulating survival data using the simsurv R package. Journal of Statistical Software (accepted 19 Sept 2019). : 2019.
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
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
2018
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.
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 : 2018.
Moreno-Betancur M Carlin JB. Understanding interventional effects: a more natural approach to mediation analysis?. Epidemiology 29:614-617 2018.
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.
Longitudinal changes in body mass index and the competing outcomes of death and transplant in patients undergoing hemodialysis: a latent class joint modelling . Epidemiology (accepted 29 June 2018): 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
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.
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
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
2017
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 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
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
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.
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., Carlin J. B., Brilleman S. L., Tanamas S. K., Peeters A., Wolfe R. Survival analysis with time-dependent covariates subject to missing data or measurement error: Multiple Imputation for Joint Modeling (MIJM). Biostatistics : 2017.
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
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.
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
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
Rey G Piffaretti C Rondet C Lamarche-Vadel A Moreno-Betancur M. Analyse de la mortalite par cause: ponderation des causes multiples. . Bulletin Epidemiologique Hebdomadaire. :13-9 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
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., 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
2016
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
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
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.
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.
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.
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.
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.
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
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.
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
2015
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
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
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
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
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.
Nguyen C.D., Lee K.J., Carlin J.B. Posterior predictive checking of multiple imputation models.. Biometrical Journal 57:676-694 2015. Link, Link
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
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
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., 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
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
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
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
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.
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
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.
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.
2012
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