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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

433 Tue, 7/31/2018, 2:00 PM - 2:45 PM CC-West Hall B
SPEED: Applications of Advanced Statistical Techniques in Complex Survey Data Analysis: Small Area Estimation, Propensity Scores, Multilevel Models, and More — Contributed Poster Presentations
Survey Research Methods Section
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Prisoners Are People Too: Statistical Disclosure Control in the 2016 Survey of Prison Inmates
Nicole Mack, RTI International; Marcus Berzofsky, RTI International; Stephanie Zimmer, RTI International
2: Estimation and Inference of Domain Means Subject to Shape Constraints
Cristian Oliva, Colorado State University; Mary C. Meyer, Colorado State University; Jean D. Opsomer, Colorado State University
3: Producing Subnational Estimates from the National Crime Victimization Survey
Andrew Moore, RTI International; Marcus Berzofsky, RTI International; George Couzens, RTI International; Stephanie Zimmer, RTI International; Caroline Scruggs, RTI International
4: On Mediation Analysis in Public Health Using the Complex Survey Data
Monsur Chowdhury, University of Central Florida; Thanh Pham, University of Central Florida; Julia Soulakova, University of Central Florida
5: Generalized Estimating Equations for Social Network Data
Miles Ott, Smith College; Bjorn Westgard, HealthPartners; Brian Martinson, HealthPartners; Michael Maciosek, HealthPartners
6: Numerical Comparison of Various Bootstrap Methods in Survey Sampling
Christian Léger, Université de Montréal; Oussama Dabdoubi, Université de Montréal
7: Meta-Analysis of Survey-Based, Non-Experimental Individual Person Data with Heterogeneous Weighting Schemes
Anna-Carolina Haensch, GESIS Institute ; Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences
8: Robust estimation in the presence of deviations from linearity in small domain models
Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
9: Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information
Yutao Liu, Columbia University; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
10: Calibrated Bayesian Approach for Small Area Prevalence Estimation Using Survey Data with Replicate Weights
Trung Ha, University of Central Florida; Julia Soulakova, University of Central Florida
11: Quantile Regression Analysis of Survey Data Under Informative Sampling
Daniel Zhao, OU Health Sciences Center; Sixia Chen, University of Oklahoma
12: Estimating Causal Effects with Propensity Score in Cluster Sample Surveys
Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University
13: The Problem of Analytic Error in Secondary Analysis of Survey Data: What We Know, and What We Need to Do About It
Brady T. West, University of Michigan; Joe Sakshaug, University of Manchester
14: Parameter Estimate Bias Resulting from Level 3 Sample Size Decisions
Tingqiao Chen; Frank Lawrence, Michigan State University; Wenjuan Ma, Michigan State University
15: Comparing Direct Survey and Small Area Estimates of Health Care Coverage in New York
Jeniffer Iriondo Perez, RTI International; Rachel Harter, RTI International; Amang Sukasih, RTI International
16: Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods
Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino
17: Empirical Bayes Small Area Prediction of Sheet and Rill Erosion Using a Zero-Inflated Lognormal Model
Xiaodan Lyu, Iowa State Univ; Emily Berg, Iowa State University; Heike Hofmann, Iowa State University
18: Small Area Estimation of HIV Measures in Sub-Saharan Africa
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Jon Wakefield, Univ of Washington; Ann Duerr, Fred Hutch; Deborah Donnell, Fred Hutch
19: Machine Learning to Evaluate the Quality of Patient Reported Epidemiological Data
Robert L. Wood, Resonate & Wichita State University; Futoshi Yumoto, Resonate; Rochelle Tractenberg, Georgetown University