Online Lectures

Targeted Learning for the Estimation of Drug Safety and Effectiveness: Getting Better Answers by Asking Better Questions

Mireille Schnitzer, PhD

In this workshop, Dr. Schnitzer gives an overview of the estimation of causal effects using Targeted Learning and how this approach can be applied in drug safety and effectiveness research.

Watch

Applying Targeted Maximum Likelihood Estimation to Pharmacoepidemiology

Menglan Pang, MSc

Following the lecture on Targeted Learning by Mireille Schnitzer, Menglan Pang provides concrete examples of how to apply TMLE in a study.

Watch

Pharmacology: The Neglected Half of Pharmacoepidemiology

Jacques LeLorier, MD, MSc, FRCPC, FISPE

Dr. LeLorier presents a unique perspective on how pharmacology can be used to design better drug safety and effectiveness studies.

Watch

Practice in Marginal Structural Modeling

Menglan Pang & Valerie Patenaude

Analyst Session: Menglan and Valerie walk us through coding applications of Marginal Structural Model designs.

Watch

The Nested Case-Control Design and Analysis

Samy Suissa, Ph.D

Dr. Suissa draws from his extensive teaching experience to lead us through an introduction to nested case-control design and analysis.

Watch

Minimizing Confounding Bias in Observational Studies: Inverse Probability of Treatment Weighting (IPTW)

Robert Platt, Ph.D

This lecture by Dr. Platt covers an exposure-based method of minimizing confounding known as inverse probability of treatment weighting.

Watch

Advanced Topics in Propensity Scores - Part I

Jeremy Rassen, Sc.D

Join one of the co-developers of the high dimensional propensity score for this engaging presentation on the implications of these analyses.

Watch

Confounding Products and Propensity Score Matching: Pictorial explanations of epidemiological methods

Malcolm Maclure, Sc.D

Dr. Maclure walks us through his creative and very visual explanation of propensity scores.

Watch

Propensity Scores: Only you can control confounding

Colin Dormuth, Sc.D

In this talk, Dr. Dormuth offers a great introduction to why and how to use propensity scores.

Watch