Planning for subgroup analysis: A case study of treatment-marker interaction in metastatic colorectal cancer Journal Article


Author: Gonen, M.
Article Title: Planning for subgroup analysis: A case study of treatment-marker interaction in metastatic colorectal cancer
Abstract: Subgroup analysis is a common secondary objective in clinical trials. In oncology where the outcome is often binary (such as tumor response) or time-to-event (such as survival), subgroup analysis can be formulated using an interaction term in logistic or proportional hazards regression models. We focus on a case study of planning a randomized trial in metastatic colorectal cancer possibly involving a treatment-marker interaction. We present a method that can be used to compute the power of interaction tests for a given sample size or to compute the necessary sample sizes for a desired level of power for the planned subgroup analysis. The principle idea is borrowed from analysis of variance and uses appropriate contrasts after a variance-stabilizing transformation. This method is conceptually and operationally simple. It can be applied to binary- or ordinal-marker measurements, and existing sample size tables or software can be used. The accuracy of the approximation is shown to be reasonable by simulation studies. © 2003 Elsevier Inc. All rights reserved.
Keywords: immunohistochemistry; survival analysis; liver neoplasms; disease marker; diagnostic accuracy; logistic models; tumor markers, biological; colonic neoplasms; colorectal carcinoma; randomized controlled trials; computer simulation; computer program; logistic regression analysis; analysis of variance; mathematical computing; sample size; case study; logistic regression; contrast; power; humans; article; proportional hazards regression; variance-stabilizing transformation
Journal Title: Controlled Clinical Trials
Volume: 24
Issue: 4
ISSN: 0197-2456
Publisher: Elsevier Science, Inc.  
Date Published: 2003-08-01
Start Page: 355
End Page: 363
Language: English
DOI: 10.1016/s0197-2456(03)00006-0
PUBMED: 12865031
PROVIDER: scopus
DOI/URL:
Notes: Export Date: 12 September 2014 -- Source: Scopus
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  1. Mithat Gonen
    1032 Gonen