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Role Senior Principal Research Fellow
Research area Population Health
John Carlin has an international reputation in biostatistics, the discipline underpinning the use of statistical methods for designing and analysing quantitative studies in health and medical research. He has been involved in a wide range of areas, especially relating to child and adolescent health research (including allergy and asthma, cystic fibrosis, cardiac disease, neonatology, rotavirus disease, vaccines, and adolescent mental health and behaviour) while his methodological research has focussed on methods for handling incompleteness in data and (more recently) causal inference. He has strong interests in the public and scientific usage and understanding of statistical methods and concepts (such as the widely misunderstood idea of "statistical significance") and also has long-standing interests in Bayesian statistical methods. Prof. Carlin has been based at the Melbourne Children's campus since 1991, and was head of the Clinical Epidemiology and Biostatistics Unit within the Murdoch Children's Research Institute (also supported by the University of Melbourne Department of Paediatrics) for 21 years until 2022. He also holds an honorary professorial appointment within the Department of Paediatrics, along with an appointment in the University of Melbourne's School of Population & Global Health since 2002. In the latter role he established the Master of Biostatistics program at the University of Melbourne, in conjunction with the Biostatistics Collaboration of Australia, which he co-­founded. Since 2012 he has led the Victorian Centre for Biostatistics (ViCBiostat), a collaboration between the MCRI, University of Melbourne and Monash University, which was established under a Centre of Research Excellence grant from the National Health & Medical Research Council to conduct research and provide advanced training in biostatistics. In 2018 he was elected Fellow of the Australian Academy of Health and Medical Sciences.
John Carlin has an international reputation in biostatistics, the discipline underpinning the use of statistical methods for designing and analysing quantitative studies in health and medical research. He has been involved in a wide range of areas,...
John Carlin has an international reputation in biostatistics, the discipline underpinning the use of statistical methods for designing and analysing quantitative studies in health and medical research. He has been involved in a wide range of areas, especially relating to child and adolescent health research (including allergy and asthma, cystic fibrosis, cardiac disease, neonatology, rotavirus disease, vaccines, and adolescent mental health and behaviour) while his methodological research has focussed on methods for handling incompleteness in data and (more recently) causal inference. He has strong interests in the public and scientific usage and understanding of statistical methods and concepts (such as the widely misunderstood idea of "statistical significance") and also has long-standing interests in Bayesian statistical methods. Prof. Carlin has been based at the Melbourne Children's campus since 1991, and was head of the Clinical Epidemiology and Biostatistics Unit within the Murdoch Children's Research Institute (also supported by the University of Melbourne Department of Paediatrics) for 21 years until 2022. He also holds an honorary professorial appointment within the Department of Paediatrics, along with an appointment in the University of Melbourne's School of Population & Global Health since 2002. In the latter role he established the Master of Biostatistics program at the University of Melbourne, in conjunction with the Biostatistics Collaboration of Australia, which he co-­founded. Since 2012 he has led the Victorian Centre for Biostatistics (ViCBiostat), a collaboration between the MCRI, University of Melbourne and Monash University, which was established under a Centre of Research Excellence grant from the National Health & Medical Research Council to conduct research and provide advanced training in biostatistics. In 2018 he was elected Fellow of the Australian Academy of Health and Medical Sciences.

Top Publications

  • Mainzer, R, Apajee, J, Nguyen, CD, 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
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  • Zhang, J, Dashti, SG, Carlin, JB, Lee, KJ, Moreno-Betancur, M. 1230Should multiple imputation be stratified by exposure group when estimating causal effects via outcome regression?. International Journal of Epidemiology 50(Supplement_1) : dyab168.747- 2021
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  • Middleton, M, Moreno-Betancur, M, Carlin, J, Lee, KJ. 855Multiple Imputation in the Context of Case-Cohort Studies: Simulation and Case Study. International Journal of Epidemiology 50(Supplement_1) : dyab168.435- 2021
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  • Dashti, G, Lee, KJ, Simpson, JA, White, IR, Carlin, JB, Moreno-Betancur, M. 1223Handling missing data for causal effect estimation in cohort studies using Targeted Maximum Likelihood Estimation. International Journal of Epidemiology 50(Supplement_1) : 2021
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  • Carlin, J, Moreno-Betancur, M. 1023The uses and abuses of regression models: a new approach to teaching regression analysis. International Journal of Epidemiology 50(Supplement_1) : 2021
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