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20212024
most citedA Propensity-Score Integrated Approach to Bayesian Dynamic Power Prior Borrowing

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

stat.ME2024

Prior Effective Sample Size When Borrowing on the Treatment Effect Scale

Hongtao Zhang, Keaven M Anderson, Zachary Zimmer +3

With the robust uptick in the applications of Bayesian external data borrowing, eliciting a prior distribution with the proper amount of information becomes increasingly critical.…

stat.ME2023

Weighting Based Approaches to Borrowing Historical Controls for Indirect comparison for Time-to-Event Data with a Cure Fraction

Jixian Wang, Hongtao Zhang, Ram Tiwari

To use historical controls for indirect comparison with single-arm trials, the population difference between data sources should be adjusted to reduce confounding bias. The adjustm…

stat.ME2022★ 1 cited

A Propensity-Score Integrated Approach to Bayesian Dynamic Power Prior Borrowing

Jixian Wang, Hongtao Zhang, Ram Tiwari

Use of historical control data to augment a small internal control arm in a randomized control trial (RCT) can lead to significant improvement of the efficiency of the trial. It in…

stat.ME2021

An Empirical Bayes Robust Meta-Analytical-Predictive Prior to Adaptively Leverage External Data

Hongtao Zhang, Yueqi Shen, Alan Y Chiang +1

We propose a novel empirical Bayes robust MAP (EB-rMAP) prior to adaptively leverage external/historical data. Built on Box's prior predictive p-value, the EB-rMAP prior framework…

stat.ME2021

Improving the Performance of Bayesian Logistic Regression Model with Overdose Control in Oncology Dose-Finding Studies

Hongtao Zhang, Alan Y Chiang, Jixian Wang

An accurately identified maximum tolerated dose (MTD) serves as the cornerstone of successful subsequent phases in oncology drug development. Bayesian logistic regression model (BL…