Assessing heterogeneity of treatment effect in a clinical trial with the proportional interactions model

We describe methods for constructing a confidence interval for the proportionality parameter. In simulation studies, we show that our modified Bonferroni adjustment controls familywise error and has greater power to detect proportional interactions compared with multiplcity‐corrected subgroup analyses. We demonstrate our methodology by using the Studies of Left Ventricular Dysfunction Treatment trial, a placebo‐controlled randomized clinical trial of the efficacy of enalapril to reduce the risk of death or hospitalization in chronic heart failure patients. An R package called anoint is available for implementing the proportional interactions methodology. Copyright © 2013 John Wiley & Sons, Ltd.
Source: Statistics in Medicine - Category: Statistics Authors: Tags: Research Article Source Type: research