JSM2024
Back to the program
Contributed Papers

Efficient Statistical Methods and Study Designs for Addressing Complex Research Questions

Sun, Aug 4, 4:00 PM - 5:50 PM
Brian WilliamsonChair
WNAR

7 Presentations

A Linear Mixed Model Approach for Measurement Error Adjustment
4:05 PM - 4:20 PM
Ruohui Chen (Northwestern University)
Co-authors: Dori Rosenberg (Arizona State University), Chongzhi Di (Fred Hutchinson Cancer Research Center), Rong Zablocki (UC San Diego), Sheri Hartman (UCSD), Andrea LaCroix (UCSD), Xin Tu (University of California San Diego), Loki Natarajan (UCSD), Lin Liu (Univ of California-San Diego)
Efficient Outcome Dependent Sampling Designs in the Presence of Nonignorable Dropout
4:20 PM - 4:35 PM
Carter Sevick
Co-authors: Camille Moore (National Jewish Health), Samantha MaWhinney (Colorado School of Public Health)
Missing data problems in dynamic borrowing with covariate adjustments for hybrid control studies
4:35 PM - 4:50 PM
Kentaro Sakamaki (Juntendo University)
Co-authors: Masataka Taguri (Tokyo Medical University), Kentaro Matsuura (Chugai Pharmaceutical), Satoshi Morita (Kyoto University)
Optimizing Placebo Borrowing in Master Protocols: Enhancing Stability Via Exchangeability Testing
4:50 PM - 5:05 PM
Zhangchen Zhao (Eli Lilly and Company)
Co-authors: Yan Dong (Eli Lilly and Company), Shi Zhao (Eli Lilly and Company), Phebe Kemmer (Eli Lilly and Company)
Synergy and Antagonism in Log-linear Models
5:05 PM - 5:20 PM
Nahid Hasan
Co-authors: Petros Hadjicostas (University of Nevada, Las Vegas)
Using Nature-inspired Algorithms to Find Multi-objective Designs for Toxicology Experiments
5:20 PM - 5:35 PM
William Gertsch
Co-authors: Weng Kee Wong (University of California-Los Angeles)
Using Semiparametric Models to Account for Spatial Confounding in Large Cohorts
5:35 PM - 5:50 PM
Maddie Rainey (Colorado State University)
Co-authors: Kayleigh Keller (Colorado State University)
↑