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

PSC In The News

RSS Feed icon

Bound, Geronimus, et al. find estimates of decreasing longevity among low-SES whites sensitive to measures and interpretations

Thompson casts doubt on the rehabilitative intentions of prison labor

Inglehart says European social democracy is a victim of its own success

More News

Highlights

Seefeldt discusses her book Abandoned Families, Wed, March 29, 4 PM, Annenberg Auditorium

U-M participants at PAA Annual Meeting, April 27-29

Heather Ann Thompson wins Bancroft Prize for History for 'Blood in the Water'

Michigan ranks in USN&WR top-10 grad schools for sociology, public health, labor economics, social policy, social psychology

More Highlights

Next Brown Bag

Mon, April 10, 2017, noon:
Elizabeth Bruch

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