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Article

Bayesian variable selection for survival regression in genetics.

Genetic epidemiology - 1 Nov 2010

Tachmazidou Ioanna, Johnson Michael R, De Iorio Maria

Abstract excerpt

Variable selection in regression with very big numbers of variables is challenging both in terms of model specification and computation. We focus on genetic studies in the field of survival, and we present a Bayesian-inspired penalized maximum likelihood approach appropriate for high-dimensional problems. In particular, we employ a simple, efficient algorithm that seeks maximum a posteriori (MAP) estimates of...

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PMID: 20976796
DOI: 10.1002/gepi.20530

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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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