Techniques and Case Studies to Address Missing Data Complications in Scientific Studies

Thu, Aug 8, 10:30 AM - 12:20 PM

Ruoyu WangChair

Biometrics Section

5 Presentations

Bootstrap Inference with Stacked Multiple Imputations

10:35 AM - 10:50 AM

Paul Bernhardt (Villanova University)

Multiple imputation for joint modelling of longitudinal and survival data with censored covariates

10:50 AM - 11:05 AM

Yilin Wu

Co-authors: Liming Xiang (Nanyang Technological University)

Multiple imputation models for SARS-CoV-2 viral load

11:05 AM - 11:20 AM

Gail Potter (National Institute of Health / NIAID)

Co-authors: Allyson Mateja, Eric Chu (Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research), Daniel Rubin (FDA), David Smith (University of California, San Diego), Victor DeGruttola (Harvard School of Public Health), Michael Hughes (Harvard TH Chan School of Public Health)

Multiple Imputation, Machine-Learning, and Hot Deck Imputation Models with the 2021 NSDUH survey

11:20 AM - 11:35 AM

Mark Brow (Department of Health and Human Services/SAMHSA)

Co-authors: Jingsheng Yan (Department of Health and Human Services/SAMHSA)

Predicting risk for a new patient with missing risk factor: a submodel approach for binary outcome

11:35 AM - 11:50 AM

Tianyi Sun (Vanderbilt University)

Co-authors: Allison B. McCoy (Vanderbilt University Medical Center), Alan B. Storrow (Vanderbilt University Medical Center), Dandan Liu (Vanderbilt University Medical Center)