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421 Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-144A
Missing Data Handling and Consideration — Contributed Papers
Biopharmaceutical Section
Chair(s): Deepak Khatry, Westat
10:35 AM Treatment Effect Estimation in the Analysis of Count and Recurrent Event Data
Sarah Conner, Vertex Pharmaceuticals; Yijie Zhou, Vertex Pharmaceuticals; Jason Yuan, Vertex Pharmaceuticals; Tu Xu, Vertex Pharmaceuticals
10:50 AM Handling Intercurrent Events and Missing Data for Longitudinal Binary Data Under the Estimand Framework
Cuihong Zhang, The University of Texas Health Science Center at Houston; Yunxia Sui, AbbVie Inc.; Yihan Li, AbbVie Inc.; Xin Wang, Bristol Myers Squibb
11:05 AM A Hybrid Estimand to Account for Different Types of Intercurrent Events in Clinical Trials for Atopic Dermatitis
Zhuqing Liu, Eli Lilly and Company; Jingyi Liu, Eli Lilly and Company
11:20 AM Direct Likelihood Estimation for the Commonly Used Pattern Mixture Models in Clinical Trials
Jitong Lou, Eli Lilly and Company; Yongming Qu, PhD, Lilly
11:35 AM Doubly Robust Methods for Censored Covariates: An Application to Huntington Disease
Marissa C. Ashner, University of North Carolina at Chapel Hill; Tanya P. Garcia, University of North Carolina at Chapel Hill
11:50 AM Definition of Missing Value Within Estimand Framework – a Source for Confusion in the Statistical Practice
Ulker Aydemir, Syneos Health
12:05 PM Floor Discussion