A systematic approach to subgroup analyses in a smoking cessation trial.

ABSTRACT:

Background

Traditional approaches to subgroup analyses that test each moderating factor as a separate hypothesis can lead to erroneous conclusions due to the problems of multiple comparisons, model misspecification, and multicollinearity.

Objective

To demonstrate a novel, systematic approach to subgroup analyses that avoids these pitfalls.

Methods

A Best Approximating Model (BAM) approach that identifies multiple moderators and estimates their simultaneous impact on treatment effect sizes was applied to a randomized, controlled, 11-week, double-blind efficacy trial on smoking cessation of adult smokers with attention-deficit/hyperactivity disorder (ADHD), randomized to either OROS-methylphenidate (n = 127) or placebo (n = 128), and treated with nicotine patch. Binary

SUBMITTER: Westover AN 

PROVIDER: S-EPMC4817346 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature