Bayesian latent variable models for mixed discrete outcomes

Biostatistics

Volumn 6, Issue 1, 2005, Pages 11-25

  Dunson, David B ^a   Herring, Amy H ^b  

^a NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

^b IL   (United States)

Author keywords

Discrete time survival; Joint model; Latent variables; Multiple binary outcomes; Poisson counts; Proportional hazards; Random effects; Tumor multiplicity

Indexed keywords

ACRYLIC ACID DERIVATIVE; ORGANIC COMPOUND; PENTAERYTHRITYL TRIACRYLATE; PROPANEDIOL DERIVATIVE;

ANIMAL; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; CHEMICALLY INDUCED DISORDER; COMPUTER SIMULATION; MONTE CARLO METHOD; MOUSE; PAPILLOMA; POISSON DISTRIBUTION; PROBABILITY; PROPORTIONAL HAZARDS MODEL; SKIN TUMOR; TRANSGENIC MOUSE;

ACRYLATES; ANIMALS; BAYES THEOREM; COMPUTER SIMULATION; MARKOV CHAINS; MICE; MICE, TRANSGENIC; MODELS, BIOLOGICAL; MONTE CARLO METHOD; ORGANIC CHEMICALS; PAPILLOMA; POISSON DISTRIBUTION; PROPORTIONAL HAZARDS MODELS; PROPYLENE GLYCOLS; SKIN NEOPLASMS;

EID: 21644435901     PISSN: 14654644     EISSN: None     Source Type: Journal    
DOI: 10.1093/biostatistics/kxh025     Document Type: Article

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