A Bayesian group sequential design for randomized biosimilar clinical trials with adaptive information borrowing from historical data-Reference-Cited by-同舟云学术

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A Bayesian group sequential design for randomized biosimilar clinical trials with adaptive information borrowing from historical data

Published:2022-05-04 Issue:3 Volume:32 Page:359-372
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Zhang Wen¹^ORCID,Pan Zhiying²,Yuan Ying³

Affiliation:

1. Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, Texas, USA

2. Amgen Inc, Thousand Oaks, California, USA

3. Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA

Funder

The author(s) reported there is no funding associated with the work featured in this article

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2022.2080700

Reference22 articles.

1. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

2. Efficacy of neoadjuvant therapy with trastuzumab concurrent with anthracycline- and nonanthracycline-based regimens for HER2-positive breast cancer

3. A novel equivalence probability weighted power prior for using historical control data in an adaptive clinical trial design: A comparison to standard methods

4. Clinical and translational results of CALGB 40601: A neoadjuvant phase III trial of weekly paclitaxel and trastuzumab with or without lapatinib for HER2-positive breast cancer.

5. Bayesian Design of Noninferiority Trials for Medical Devices Using Historical Data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing generalizability and efficiency in clinical trials through dynamic information borrowing for both experimental and control arms: A simulation study;Journal of Evidence-Based Medicine;2023-12

2. BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints;Statistics in Medicine;2023-10-19

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