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Avoiding the Pitfalls of Selection Bias - Livestream

Carl Bergstrom

Selection bias occurs when the method by which a statistical sample is obtained prevents the sample from accurately representing the population about which one wishes to draw inferences. As straightforward as the issue may seem, selection bias is among the most pernicious perils of statistical inference. In this lecture, Dr. Carl T. Bergstrom will discuss some of the many ways that selection bias and related phenomena, from right censoring to the “Will Rogers effect,” can arise in medical research and beyond. He will draw from a range of examples, including recent studies on COVID-19. The session will feature interactive audience questions and answers, using the chat function of the live Zoom session.

Speaker: Carl Bergstrom, University of Washington

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Thursday, 01/21/21


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Berkeley Institute for Data Science

, CA