Causal inference research

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My personal research, which began with my PhD, is on the use of causal inference in longitudinal observational data.

To date, I have published a systematic review of the use of causal inference methods in addressing the issue of exposure-affected time-varying confounding. I also have a number of other papers currently under review, for which the code is available on my website. This includes a tutorial on the use of targeted maximum likelihood estimation in longitudinal data analysis.

Dr. Philip J Clare, PhD
Research Fellow

Biostatistician at the National Drug and Alcohol Research Centre, UNSW Sydney.


Robust causal inference using non-randomized longitudinal data

A seminar on robust causal inference methods.