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

Activity Details

478 * Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 117
Missing Data — Contributed Papers
Biometrics Section
Chair(s): Jiawei Bai, Johns Hopkins University
8:35 AM Model Compatible Multiple Imputation Method for Minimizing the Impact of Covariate Detection Limit in Logistic Regression

Shahadut Hossain, UAE University
8:50 AM Imputed Factor Regression for High-Dimensional Block-Wise Missing Data
Yanqing Zhang, Yunnan University; Niansheng Tang, Yunnan University; Annie Qu, University of Illinois at Urbana-Champaign
9:05 AM A Semiparametric Test of Missing at Random Using Instrumental Variables
Rui Duan, University of Pennsylvania; Jason Liang, National Institute of Allergy and Infectious Diseases; Cheng Yong Tang, Temple University; Yong Chen, University of Pennsylvania
9:20 AM Different Causes of Missing Values in a Randomized Clinical Trial of Kidney Decline: Implications for the Statistical Analysis Plan
Andrzej Galecki, University of Michigan; Cathie Spino, University of Michigan; Alessandro Doria, Joslin Diabetes Center; Michael Mauer, University of Minnesota
9:35 AM A Comparison of Multiple Imputation by Fully Conditional Specification and Joint Modeling for Generalized Linear Models with Covariates Subject to Detection Limits
Paul Bernhardt, Villanova University
9:50 AM Missing Imputation of Cancer Proteome with Iterative Prediction Model

Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai; Weiping Ma, Icahn School of Medicine at Mount Sinai; Pei Wang, Icahn School of Medicine at Mount Sinai ; Lin Chen, University of Chicago
10:05 AM Addressing Missing Accelerometer Data with Functional Data Analysis (FDA)

Patrick Hilden; Joseph Schwartz, Columbia University; Jeff Goldsmith, Columbia University