Melissa Middleton

Melissa Middleton

Biostatistician | PhD Candidate

Murdoch Children's Research Institute

The University of Melbourne


Melissa Middleton is a PhD candidate based at the Murdoch Childrens Research Institute & the University of Melbourne. Her research focuses on the application of statistical methods to handle missing data in complex epidemiological studies, with a main focus on survey weights and multiple imputation.

Whilst her main research focus is on biostatistical methodology, she also has research interests in the areas of maternal mental health & substance use as an applied statistician.


  • Missing Data Methodology
  • Multiple Imputation
  • Longitudinal Studies
  • Maternal Mental Health


  • PhD in Biostatistical Methodology, 2023

    University of Melbourne

  • Master of Biostatistics, 2018

    University of Melbourne

  • Bachelor of Biomedical Science, 2017

    La Trobe University




Murdoch Children’s Research Institute

Apr 2019 – Apr 2020 Melbourne
Part of the Victorian Adolescent & Intergenerational Health Cohort Study team, contributed to research examining the affects of parental substance use on the next generation and mitigating factors of maternal mental health. She also had the opportunity to contribute to preliminary preparation of wave 11 data.

Data Analyst

Monash University

Oct 2018 – Jul 2019 Melbourne
Whilst based at the Monash Addiction Research Centre, she contributed to topical research in the area of opioid use. Highlights include being lead author on an investigation into opioid prescription trends following codeine rescheduling in Australia, which was featured on ABCs 7.30


University of Melbourne

Jul 2018 – Dec 2019 Melbourne
Tutored for the master level subject ‘Linear & Logistic Regression’ (POPH90144).

Recent Publications


Evaluation and Development of Approaches for Handling Missing Data in Complex Longitudinal Studies

Handling missing data is an important process in the analysis of health research studies. For complex study designs, information on how the study was conducted needs to be incorporated into the process and it is currently unclear how best to do this. My project aims to evaluate and compare the various methods available, and produce guidance on the issue for use in the analysis of public health studies.