Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Eisenberg discusses U-M program offering mental health services to student athletes

Bailey and Dynarski's work cited in Bloomberg article on growing U.S. inequality

Frey says current minority college completion rates predict decline in college-educated Americans

Highlights

ISR addition wins LEED Gold Certification

Call for Proposals: Small Grants for Research Using PSID Data. Due March 2, 2015

PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Next Brown Bag

Monday, Feb 2
Monica Grant, Free Primary Education & Age of First Birth in Malawi

On Bayesian methods of exploring qualitative interactions for targeted treatment

Publication Abstract

Chen, W., D. Ghosh, Trivellore Raghunathan, M. Norkin, D. Sargent, and G. Bepler. 2012. "On Bayesian methods of exploring qualitative interactions for targeted treatment." Statistics in Medicine, 31(28): 3693-707.

Providing personalized treatments designed to maximize benefits and minimizing harms is of tremendous current medical interest. One problem in this area is the evaluation of the interaction between the treatment and other predictor variables. Treatment effects in subgroups having the same direction but different magnitudes are called quantitative interactions, whereas those having opposite directions in subgroups are called qualitative interactions (QIs). Identifying QIs is challenging because they are rare and usually unknown among many potential biomarkers. Meanwhile, subgroup analysis reduces the power of hypothesis testing and multiple subgroup analyses inflate the type I error rate. We propose a new Bayesian approach to search for QI in a multiple regression setting with adaptive decision rules. We consider various regression models for the outcome. We illustrate this method in two examples of phase III clinical trials. The algorithm is straightforward and easy to implement using existing software packages. We provide a sample code in Appendix A.

DOI:10.1002/sim.5429 (Full Text)

PMCID: PMC3528020. (Pub Med Central)

Browse | Search : All Pubs | Next