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Article

Integrative variable selection via Bayesian model uncertainty.

Statistics in medicine - 10 Dec 2013

Quintana M A, Conti D V

Abstract excerpt

We are interested in developing integrative approaches for variable selection problems that incorporate external knowledge on a set of predictors of interest. In particular, we have developed an integrative Bayesian model uncertainty (iBMU) method, which formally incorporates multiple sources of data via a second-stage probit model on the probability that any predictor is associated with the outcome of interest....

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Identifiers

PMID: 23824835
DOI: 10.1002/sim.5888
PMCID: PMC4085544

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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