Parametric models for spatially correlated survival data for individuals with multiple cancers

Statistics in Medicine

Volumn 27, Issue 12, 2008, Pages 2127-2144

  Diva, Ulysses ^a   Dey, Dipak K ^b   Banerjee, Sudipto ^c  

^a BRISTOL MYERS SQUIBB   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Bayesian hierarchical models; Frailty models; Markov chain Monte Carlo (MCMC); Proportional hazards; Proportional odds; Spatial association; Survival modeling

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CANCER INCIDENCE; CANCER MORTALITY; CANCER SURVIVAL; COLON CANCER; CONTROLLED STUDY; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; DIGESTIVE SYSTEM CANCER; GALLBLADDER CANCER; HUMAN; KAPLAN MEIER METHOD; LINEAR REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; MULTIPLE CANCER; NORMAL DISTRIBUTION; PANCREAS CANCER; PARAMETRIC TEST; PROPORTIONAL HAZARDS MODEL; RECTUM CANCER; SMALL INTESTINE CANCER; STOMACH CANCER; SURVIVAL TIME; UNITED STATES;

AGED; BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; FEMALE; GASTROINTESTINAL NEOPLASMS; HUMANS; IOWA; MALE; MARKOV CHAINS; MIDDLE AGED; MODELS, STATISTICAL; PROBABILITY; PROPORTIONAL HAZARDS MODELS; SEER PROGRAM; SURVIVAL ANALYSIS; SURVIVAL RATE;

EID: 44649118024     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3141     Document Type: Article

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