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Journal of Biopharmaceutical Statistics|August 18, 2021
Estimands, Handling of Missing Data and Impact on Assumed Effect Size and Power in Pivotal COVID-19 Treatment TrialsSujatro Chakladar, Ran Liao, Margaret GamaloJournal of Biopharmaceutical Statistics|December 27, 2021
A novel approach to augment single-arm clinical studies with real-world dataArchie Sachdeva, Ram C Tiwari, Subharup GuhaJournal of Biopharmaceutical Statistics|June 2, 2012
On adaptive error spending approach for group sequential trials with random information levelsQing Liu, Pilar Lim, Issac Nuamah, et al.Journal of Biopharmaceutical Statistics|April 5, 2014
An AUC-like index for agreement assessmentZheng Zhang, Youdan Wang, Fenghai DuanJournal of Biopharmaceutical Statistics|July 22, 2026
Augmented match weighted estimators: new methods for estimating average treatment effects under extreme propensity scoresTanchumin Xu, Yunshu Zhang, Shu YangJournal of Biopharmaceutical Statistics|July 27, 2026
Balancing sample size and accuracy of dose selection in phase 1 oncology trials - designs tiered by cohort size and maximum number of patients treated per dosePing Gao, Xun Zhang, Weidong Zhang, et al.Journal of Biopharmaceutical Statistics|July 31, 2026
A phase II, seamless single-arm to two-arm Bayesian design for a time-to-event endpointYun Qing, Ruitao LinJournal of Biopharmaceutical Statistics|August 11, 2026
An integrated methodological roadmap for real-world biomarker studies: advancing oncology precision medicine through robust methodologies and machine learning integrationDai Feng, Amber Lind, Weili HeJournal of Biopharmaceutical Statistics|December 12, 2022
Addressing statistical issues when leveraging external control data in pediatric clinical trials using Bayesian dynamic borrowingEmmanouil Spanakis, Martina Kron, Mareike Bereswill, et al.Journal of Biopharmaceutical Statistics|July 6, 2022
Optimal designs for phase II clinical trials with heterogeneous patient populationsLu Liu, Shiwei Cao, Sin-Ho JungPageof 216