Topic-Contributed Paper Session

SRMS/GSS/SSS Student Paper Competition Winners

Wed, Aug 6, 8:30 AM - 10:20 AM Room CC-202B Music City Center

Kristen OlsonOrganizerKristen OlsonChair

Survey Research Methods Section co: Government Statistics Sectionco: Social Statistics Section

About this session

This session contains the papers from the 5 winners of the joint SRMS/GSS/SSS Student Paper Competition. These five papers cover a wide range of topics relevant to survey, government, and social statistics.

5 Presentations

Causal inference and racial bias in policing: New estimands and the importance of mobility data

8:35 AM - 8:55 AM

Zhuochao Huang (University of Florida)

Co-authors: Brenden Beck (School of Criminal Justice, Rutgers University), Joseph Antonelli (University of Florida)

Causal inference Mobility data Racial discrimination Race and place Sensitivity analysis

Echo State Networks for Spatio-Temporal Area-Level Data

8:55 AM - 9:15 AM

Zhenhua Wang

Co-authors: Christopher Wikle (University of Missouri), Scott Holan (University of Missouri/U.S. Census Bureau)

Areal data Echo State Network Graph Convolutional Network Survey

Formulating the Proxy Pattern-Mixture Model as a Selection Model to Assist with Sensitivity Analysis

9:15 AM - 9:35 AM

Seth Adarkwah Yiadom (The Ohio State University)

Co-authors: Rebecca Andridge (The Ohio State University)

nonignorable nonresponse nonignorable selection Proxy pattern-mixture models nonprobability samples sensitivity analysis nonresponse and selection bias

Impact of existence and nonexistence of pivot on the coverage of empirical best linear prediction intervals for small areas

9:35 AM - 9:55 AM

Yuting Chen (University of Maryland College Park)

Co-authors: Yuting Chen (University of Maryland College Park), Masayo Hirose (Kyushu University, Institute of Mathematics for Industry), Partha Lahiri (University of Maryland-College Park)

Small area estimation empirical Bayes linear mixed model best linear predictor

Synthetic Sampling Weights for Volunteer-Based National Biobanks: A Case Study with the All of Us Research Program

9:55 AM - 10:15 AM

Huiding Chen

Co-authors: Andrew Guide (Vanderbilt University Medical Center), Lina Sulieman (Department of Biomedical Informatics, Vanderbilt University), Robert Cronin (Department of Internal Medicine, The Ohio State University), Thomas Lumley (University of Auckland), Qingxia Chen (Vanderbilt University Medical Center)

Calibration Weighting Generalized Raking Nested Propensity Score Non-Probability Prevalence Sampling Design