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Sessions Were Renumbered as of May 19.

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CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: complex survey data returned 9 record(s)
Sunday, 07/31/2016
A Bayesian Approach for Regression Analysis of Complex Survey Data with Missing Values
Trivellore Raghunathan, University of Michigan
5:25 PM

Monday, 08/01/2016
An Association Study Including Measurement Errors Using Linked NHIS and EPA Modeled Data
Rong Wei, CDC/NCHS; Van Parsons, CDC/NCHS; Jennifer Parker, CDC/NCHS; Ambarish Vaidyanathan, National Center for Environmental Health; Pavlina Rumcheva, CDC/NCHS
11:35 AM

Tuesday, 08/02/2016
Empirical likelihood inference for regression parameters when modeling hierarchical complex survey data
Melike Oguz Alper, Statistics Norway; Yves G. Berger, University of Southampton
9:50 AM

Wednesday, 08/03/2016
Extension of the Peters-Belson Method to Estimate Health Disparities Among Multiple Groups Using Logistic Regression with Survey Data
Yan Li, Joint Program in Survey Methodology; Barry Graubard, National Cancer Institute; Pengyu Huang, Fors Marsh Group; Joseph L. Gastwirth, The George Washington University


A Comparison Between Standard Regression and Multilevel Modeling Techniques to Analyze Complex Survey Data Based on the Monte Carlo Simulation Study
Alomgir Hossain, University of Ottawa Heart Institute; George Wells, University of Ottawa Heart Institute; Punam Pahwa, University of Saskatchewan


Approximate Median Regression for Complex Survey Data
Raphael Fraser, Medical College of Wisconsin
9:15 AM

Extension of the Peters-Belson Method to Estimate Health Disparities Among Multiple Groups Using Logistic Regression with Survey Data
Yan Li, Joint Program in Survey Methodology; Barry Graubard, National Cancer Institute; Pengyu Huang, Fors Marsh Group; Joseph L. Gastwirth, The George Washington University
9:50 AM

A Comparison Between Standard Regression and Multilevel Modeling Techniques to Analyze Complex Survey Data Based on the Monte Carlo Simulation Study
Alomgir Hossain, University of Ottawa Heart Institute; George Wells, University of Ottawa Heart Institute; Punam Pahwa, University of Saskatchewan
10:00 AM

Thursday, 08/04/2016
Nonparametric Kernel Density Estimation Using Auxiliary Information from Complex Survey Data
Sayed A. Mostafa, Oklahoma State University; Ibrahim A. Ahmad, Oklahoma State University
9:35 AM

 
 
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