Literature DB >> 24733510

Adjusting for misclassification in a stratified biomarker clinical trial.

Chunling Liu1, Aiyi Liu, Jiang Hu, Vivian Yuan, Susan Halabi.   

Abstract

Clinical trials utilizing predictive biomarkers have become a research focus in personalized medicine. We investigate the effects of biomarker misclassification on the design and analysis of stratified biomarker clinical trials. For a variety of inference problems including marker-treatment interaction in particular, we show that marker misclassification may have profound adverse effects on the coverage of confidence intervals, power of the tests, and required sample sizes. For each inferential problem, we propose methods to adjust for the classification errors.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  biomarkers; classification error; correction for error; personalized medicine; power and sample size; prevalence; randomized controlled clinical trials; sensitivity and specificity

Mesh:

Substances:

Year:  2014        PMID: 24733510      PMCID: PMC4107031          DOI: 10.1002/sim.6164

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


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