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Contributed Papers

Statistical methods for handling missing data

Sun, Aug 4, 2:00 PM - 3:50 PM

Linda HarrisonChair

Biopharmaceutical Section

7 Presentations

A Closer Look at Control-Based Imputation for Active Arm Dropouts in Randomized Clinical Trials

2:05 PM - 2:20 PM

Naimin Jing (Merck & Co.)

Co-authors: Fang Liu (Merck), Devan Mehrotra (Merck & Co., Inc.)

A simulation study of multiple imputation methods applied to missing covariates in meta-regression

2:20 PM - 2:35 PM

Shintaro Hirano

Co-authors: Takayuki Abe (Kyoto Women's University, School of Data Science)

Addressing Missing Responses and Categorical Covariates in Binary Regression Modeling: An Integrate

2:35 PM - 2:50 PM

Co-authors: Douglas Nychka (Colorado School of Mines), Soutir Bandyopadhyay (Colorado School of Mines)

Comparative evaluation of imputation methods for incomplete longitudinal data in clinical trials

2:50 PM - 3:05 PM

Myeongjong Kang (Merck & Co.)

Co-authors: Morshed Alam

Distributional Imputation for Control-Based Sensitivity Analyses of Recurrent Events Data

3:05 PM - 3:20 PM

Sarah Riegel Fairfax (North Carolina State University)

Co-authors: Shu Yang (North Carolina State University, Department of Statistics)

Performing a meta-analysis when study-level standard deviations are missing

3:20 PM - 3:35 PM

Eric Leifer (National Heart, Lung, and Blood Institute)

Co-authors: Kathryn Flynn (Medical College of Wisconsin), Steven Keteyian (Henry Ford Health), Dalane Kitzman (Wake Forest University School of Medicine), Vandana Sachdev (National Heart, Lung, and Blood Institute)

PrincipalR: Principal Stratification, Made Easy!

3:35 PM - 3:50 PM

Ahmad Hakeem Abdul Wahab (Janssen)

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