Sequential ordinal modeling with applications to survival data

Biometrics

Volumn 57, Issue 3, 2001, Pages 829-836

  Albert, James H ^a   Chib, Siddhartha ^b  

^a BOWLING GREEN STATE UNIVERSITY   (United States)

^b WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Bayes factor; Cumulative ordinal probit and logit model; Discrete hazard function; Gibbs sampling; Marginal likelihood; Metropolis Hastings algorithm; Model comparison; Nonnested models; Sequential ordinal probit and logit; Training sample prior

Indexed keywords

SAMPLING;

BAYES FACTOR; CUMULATIVE ORDINAL PROBIT AND LOGIT MODEL; DISCRETE HAZARD FUNCTION; GIBBS SAMPLING; HAZARD FUNCTION; MARGINAL LIKELIHOOD; METROPOLIS-HASTINGS ALGORITHM; MODELS COMPARISONS; NONNESTED MODEL; PROBIT AND LOGIT MODELS; SEQUENTIAL ORDINAL PROBIT AND LOGIT; TRAINING SAMPLE; TRAINING SAMPLE PRIOR;

MARKOV PROCESSES;

BIOMETRY;

ALGORITHM; ARTICLE; BAYES THEOREM; HUMAN; LENGTH OF STAY; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL; SYSTEM ANALYSIS;

EID: 0034872552     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00829.x     Document Type: Article

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