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486 Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Missing Data Analysis — Contributed Papers
Biometrics Section
Chair(s): Samrachana Adhikari, NYU School of Medicine
Data-Driven Methods for Missing Data Imputation
Yan Ma, George Washington University; Yihe Huang , George Washington University
Sensitivity Analysis for Missing Not at Random Data in Electronic Health Records-Based Research
Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health
Augmented Inverse Probability Weighted Estimation for Linear Regression Model with Censored Covariate
Yukun Li, University of Massachusetts; Jing Qian, University of Massachusetts
A Comparison of Imputation Methods for Missing Multi-Item Scales in Mental Health Settings
Panteha Hayati Rezvan, University of California Los Angeles; Thomas R. Belin, UCLA
Weighted Mean Difference Statistics for Paired Biomarker Data in Presence of Missing Values
Li Chen, University of Kentucky; Yuntong Li, University of Kentucky; Brent Shelton, University of Kentucky; Chi Wang, University of Kentucky; William St Clair, University of Kentucky; Heidi Weiss, University of Kentucky; John Villano, University of Kentucky; Arnold Stromberg, University of Kentucky
Approaches for Missing Covariate Data in Logistic Regression with MNAR Sensitivity Analyses
Ralph Ward, Charleston Health Equity and Rural Outreach Innovation Center (HEROIC)