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