Learning and confirming a class of treatment responders in clinical trials-Reference-Cited by-同舟云学术

Learning and confirming a class of treatment responders in clinical trials

Published:2021-06-14 Issue:22 Volume:40 Page:4872-4889
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Talisa Victor B.¹²^ORCID,Chang Chung‐Chou H.¹²³

Affiliation:

1. Department of Biostatistics Graduate School of Public Health, University of Pittsburgh Pittsburgh Pennsylvania USA

2. Clinical Research, Investigation, and Systems Modeling of Acute illness (CRISMA) Center in the Department of Critical Care Medicine University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA

3. Department of Medicine School of Medicine, University of Pittsburgh Pittsburgh Pennsylvania USA

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9100

Reference36 articles.

1. US Department of Health and Human ServicesGuidance for industry providing clinical evidence of effectiveness for human drug and biological products;1998.

2. A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative controlled clinical studies

3. Subgroup identification based on differential effect search-A recursive partitioning method for establishing response to treatment in patient subpopulations

4. Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials

5. A regression tree approach to identifying subgroups with differential treatment effects

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