Causal inference

Causal inference research

My methodological research on causal inference methods.

Robust causal inference using non-randomized longitudinal data

A seminar on robust causal inference methods.

Comparison of methods of adjusting for time-varying confounding under misspecification – A Monte-Carlo simulation study

Stata and R Analysis Code

Comparison of methods of adjusting for time-varying confounding with missing data – A Monte-Carlo simulation study

Stata and R Analysis Code

The association between alcohol use and pain in people with chronic non-cancer pain prescribed pharmaceutical opioids – a prospective cohort study

R Analysis Code

The overall effect of parental supply of alcohol across adolescence on alcohol-related harms in early adulthood – a prospective cohort study

R Analysis Code

Targeted Maximum Likelihood Estimation to adjust for time-varying confounding – a tutorial paper

R Markdown and Analysis Code

Causal models adjusting for time-varying confounding—a systematic review of the literature

An overview and systematic review of methods for handling exposure-affected time-varying confounding.