A Bayesian credible subgroups approach to identifying patient subgroups with positive treatment effects.

Abstract

Many new experimental treatments benefit only a subset of the population. Identifying the baseline covariate profiles of patients who benefit from such a treatment, rather than determining whether or not the treatment has a population-level effect, can substantially lessen the risk in undertaking a clinical trial and expose fewer patients to treatments that… (More)
DOI: 10.1111/biom.12522

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Cite this paper

@article{Schnell2016ABC, title={A Bayesian credible subgroups approach to identifying patient subgroups with positive treatment effects.}, author={Patrick M Schnell and Qi Tang and Walter W. Offen and Bradley P. Carlin}, journal={Biometrics}, year={2016}, volume={72 4}, pages={1026-1036} }