JPSM Distinguished Lecture 2025
Generalizing for Sampling and Causal Inference
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.
Discussants:
Barry Ira Graubard, Ph.D.
Scientist Emeritus in the Biostatistics Branch (BB), retired from DCEG at the beginning of 2024.
Partha Lahiri, Ph.D.
Professor & Director, Joint Program in Survey Methodology, and Professor, Department of Mathematics, University of Maryland, College Park.