Assessing and communicating heterogeneity of treatment effects for patient subpopulations: Panel discussion on considerations in design and analysis-Reference-Cited by-同舟云学术

Assessing and communicating heterogeneity of treatment effects for patient subpopulations: Panel discussion on considerations in design and analysis

Published:2020-10-28 Issue:5 Volume:20 Page:952-964
ISSN:1539-1604
Container-title:Pharmaceutical Statistics
language:en
Short-container-title:Pharmaceutical Statistics

Author:

Rothmann Mark¹^ORCID,Crown William²^ORCID,Louis Thomas A.¹³,Permutt Thomas¹,Ruberg Stephen⁴^ORCID,Segal Jodi⁵,Scott John⁶

Affiliation:

1. Office of Biostatistics United States Food and Drug Administration, Center for Drug Evaluation and Research Silver Spring Maryland USA

2. Optum Labs™ Cambridge Massachusetts USA

3. Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

4. Analytix Thinking, LLC Indianapolis Indiana USA

5. Department of Medicine Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

6. Division of Biostatistics United States Food and Drug Administration, Center for Biologics Evaluation and Research Silver Spring Maryland USA

Funder

Center of Excellence in Regulatory Science and Innovation

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pst.2077

Reference17 articles.

1. Stein's paradox;Samworth RJ;Eureka,2012

2. Assessing and communicating heterogeneity of treatment effects (HTE) for patient subpopulations: the hardest problem there is;Ruberg SJ;Pharm Stat,2020

3. Effective communication of standard errors and confidence intervals

4. Perils and potentials of self-selected entry to epidemiological studies and surveys

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