Using Bayesian hierarchical models for controlled post hoc subgroup analysis of clinical trials: application to smoking cessation treatment in American Indians and Alaska Natives-Reference-Cited by-同舟云学术

Using Bayesian hierarchical models for controlled post hoc subgroup analysis of clinical trials: application to smoking cessation treatment in American Indians and Alaska Natives

Published:2023-07-07 Issue: Volume: Page:1-13
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Shergina Elena¹^ORCID,Richter Kimber P.²^ORCID,Makosky Daley Christine³,Faseru Babalola²^ORCID,Choi Won S.³,Gajewski Byron J.¹^ORCID

Affiliation:

1. Department of Biostatistics & Data Science, University of Kansas Cancer Center, Kansas City, Kansas, USA

2. Department of Population Health, University of Kansas Medical Center, Kansas City, Kansas, USA

3. Department of Community and Health Population, Lehigh University, Bethlehem, Pennsylvania, USA

Funder

National Heart, Lung, and Blood Institute

University of Kansas

National Institutes of Health

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2023.2233598

Reference29 articles.

1. Bayesian hierarchical modeling of patient subpopulations: Efficient designs of Phase II oncology clinical trials

2. Bayesian Adaptive Methods for Clinical Trials

3. Subgroup analyses in randomized trials: risks of subgroup-specific analyses;

4. Bayesian hierarchical classification and information sharing for clinical trials with subgroups and binary outcomes

5. Feasibility of Implementing the All Nations Breath of Life Culturally Tailored Smoking Cessation Program for American Indians in Multi-Tribal Urban Communities