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