Bayesian proportional hazards model for current status data with monotone splines

Computational Statistics and Data Analysis

Volumn 55, Issue 9, 2011, Pages 2644-2651

  Cai, Bo ^a   Lin, Xiaoyan ^a   Wang, Lianming ^a  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Current status data; Gibbs sampler; Monotone spline; Poisson distribution; The proportional hazards model

Indexed keywords

BAYESIAN APPROACHES; CUMULATIVE HAZARD FUNCTION; CURRENT STATUS; DATA AUGMENTATION; EPIDEMIOLOGICAL STUDIES; FINITE NUMBER; GIBBS SAMPLER; GIBBS SAMPLERS; HAZARD FUNCTION; LATENT VARIABLE; MAXIMUM LIKELIHOOD METHODS; MODELING FLEXIBILITY; MONOTONE SPLINE; ON CURRENTS; PARTIAL LIKELIHOODS; PROPORTIONAL HAZARDS MODEL; REGRESSION COEFFICIENT; SIMULATION STUDIES; THE PROPORTIONAL HAZARDS MODEL; UTERINE FIBROIDS;

BAYESIAN NETWORKS; ESTIMATION; MAXIMUM LIKELIHOOD; POISSON DISTRIBUTION; SPLINES;

HAZARDS;

EID: 79956141937     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2011.03.013     Document Type: Article

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