Parametric Spatial Cure Rate Models for Interval-Censored Time-to-Relapse Data

Biometrics

Volumn 60, Issue 1, 2004, Pages 268-275

  Banerjee, Sudipto ^a   Carlin, Bradley P ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Bayesian analysis; Conditionally autoregressive prior; Deviance information criterion; Markov chain Monte Carlo methods; Smoking cessation

Indexed keywords

CHAINS; CODES (SYMBOLS); COMPUTATIONAL LINGUISTICS; CURING; HIERARCHICAL SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; POPULATION STATISTICS;

AUTO-REGRESSIVE; BAYESIAN ANALYSIS; CONDITIONALLY AUTOREGRESSIVE PRIOR; CURE RATE; DEVIANCE INFORMATION CRITERIA; INFORMATION CRITERION; MARKOV CHAIN MONTE CARLO METHOD; RATE MODELS; SMOKING CESSATIONS; ZIP CODE;

DISEASES;

BAYESIAN ANALYSIS; DISEASE; MEDICINE;

ARTICLE; BAYES THEOREM; BIOMETRY; CALCULATION; CONVALESCENCE; CORRELATION ANALYSIS; EXPERIENCE; HUMAN; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; METHODOLOGY; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; POSTAL MAIL; PROBABILITY; RELAPSE; REVIEW; SMOKING CESSATION; TIME; UNITED STATES;

CHEN;

EID: 1642283404     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2004.00032.x     Document Type: Review

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