Season 1, Episode 10: Causal Epidemiology, Part Two with Dr. Robert Platt
Welcome to Episode 10 of Season 1 of the Emerging Scholar Podcast!
We’re back with Dr. Robert Platt for part two of our deep dive into causal inference in epidemiology! In this episode, Dr. Platt and I explore different approaches to inferring causality, taking a closer look at the assumptions that are key when making causal inferences. We’ll also apply these concepts to some of Dr. Platt’s recent research, discussing how causal methods can be used to address important clinical questions.
If you enjoyed part one, this episode will provide an even deeper exploration into causal inference and its practical applications. Whether you’re tackling a causal question in your own work or looking to refine your understanding of causal methods, this conversation is sure to inspire and inform your approach to epidemiological research.
Tune in for a valuable discussion that could change the way you think about causal analysis in your own studies!
The Main Study We Discuss in Detail in this Episode:
Other Papers & Resources That We Touched On In This Episode:
- Miguel Hernan Target Trial Emulation Overview
- Example of Using Target Trial Emulation: Comparative Effectiveness of BNT162b2 and mRNA-1273 Vaccines in U.S. Veterans
- Scoping Review of Target Trial Emulation in Perinatal Epi
Guests
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Dr. Robert Platt
Robert Platt is Professor in the departments of Pediatrics and of Epidemiology, Biostatistics, and Occupational Health (EBOH) at McGill University. He is a Senior Investigator at the Research Institute of the McGill University Health Centre and the Lady Davis Institute of the Jewish General Hospital, and Investigator at the McGill Pharmacoepidemiology Research Unit, and holds the Albert Boehringer I endowed chair in Pharmacoepidemiology. Prof. Platt is the Principal Investigator and leader of the Canadian Network for Observational Drug Effect Studies (CNODES). His research focuses on improving methods for the study of medications using administrative data, with an emphasis on methods for causal inference and a substantive focus on medications in pregnancy. Prof. Platt is on editor-in-chief of Statistics in Medicine and is on the editorial boards of the American Journal of Epidemiology and Pharmacoepidemiology and Drug Safety. He has published over 400 articles, one book and several book chapters on biostatistics and epidemiology.