1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.AP2023
Precision Dose-finding Cancer Clinical Trials in the Setting of Broadened Eligibility
Rebecca B. Silva, Bin Cheng, Richard D. Carvajal +1
Broadening eligibility criteria in cancer trials has been advocated to represent the true patient population more accurately. While the advantages are clear in terms of generalizab…
stat.ME2020★ 1 cited
Personalized Policy Learning using Longitudinal Mobile Health Data
Xinyu Hu, Min Qian, Bin Cheng +1
We address the personalized policy learning problem using longitudinal mobile health application usage data. Personalized policy represents a paradigm shift from developing a singl…
stat.AP2019
A simulation study of methods for handling disease progression in dose-finding clinical trials
Lucie Biard, Bin Cheng, Gulam A. Manji +1
In traditional dose-finding studies, dose-limiting toxicity (DLT) is determined within a fixed time observation window where DLT is often defined as a binary outcome. In the settin…