Lectures and seminars Sfo Epi Seminar in Biostatistics: Causal effects conditional on post-treatment events

13-10-2021 9:30 am Add to iCal
Campus Solna https://ki-se.zoom.us/j/68972714887

Welcome to attend the SfoEpi Seminar Series in Biostatistics!
Title: Causal effects conditional on post-treatment events


Mats J. Stensrud, MD PhD, Assistant professor of statistics at Swiss Federal Institute of Technology Lausanne


Many researchers aim to study treatment effects on outcomes in individuals characterized by status on a particular post-treatment variable. For example, we may be interested in the effect of cancer therapies on quality of life, and quality of life is only well-defined in those individuals who are alive. Similarly, we may be interested in the effect of vaccines on post-infections outcomes, which are only of interest in those individuals who become infected.  In these settings, a naive contrast of outcomes conditional on the post-treatment variable does not have a causal interpretation, even in a randomized experiment. Therefore the effect in the principal stratum of those who would have the same value of the post-treatment variable regardless of treatment, such as the survivor average causal effect, is often advocated for causal inference. Whereas this principal stratum effect is a well-defined causal contrast,  it cannot be identified without strong untestable assumptions, and its practical relevance is ambiguous because it is restricted to an unknown subpopulation of unknown size. Here we formulate alternative estimands, which allow us to define the conditional separable effects. We describe the causal interpretation of the conditional separable effects, e.g. in settings with truncation by death, and introduce three different estimators. As an illustration, we use data from a randomized clinical trial to estimate a conditional separable effect of chemotherapies on quality of life in patients with prostate cancer.

Zoom Link: https://ki-se.zoom.us/j/68972714887

*Webinar format: unless you are on the panel you will be muted and with no video. Participants can raise their hands during the Q&A to be recognized to ask questions.

If you have any questions, please contact Erin Gabriel.


Erin Gabriel Affiliated to Research