JPSM Distinguished Lecture 2025

Generalizing for Sampling and Causal Inference

Monday, April 28, 2025

3:00 PM

1101 A. James Clark Hall

University of Maryland, College Park

In-Person Event

RSVP

Andrew Gelman  

Professor, Department of Statistics

and Department of Political Science

Columbia University

Abstract: 

We can combine model and design-based inference to address the following challenges of generalizing from sample to population:  sparse data, small-area estimation, adjustment for non-census variables, cluster sampling, and survey weights.  The methods are intellectually exciting and also important in the real world, as we demonstrate using examples in public health and public opinion, medical research, and policy analysis.