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Article

Non-parametric Bayesian approach to hazard regression: a case study with a large number of missing covariate values.

Statistics in medicine - 30 Aug 1996

Arjas E, Liu L

Abstract excerpt

A 'packaged' non-parametric multiplicative hazard regression model is proposed, and applied to a study of the effects of some genetic and viral factors in the development of spontaneous leukaemia in mice. Hierarchical modelling and data augmentation are used to deal with the large number of missing covariate values. A Bayesian procedure is adopted, and the Metropolis-Hastings algorithm is used in the numerical...

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PMID: 8870158
DOI: 10.1002/(SICI)1097-0258(19960830)15:16<1757::AID-SIM336>3.0.CO;2-J

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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