Bayesian approaches to joint cure-rate and longitudinal models with applications to cancer vaccine trials

Biometrics

Volumn 59, Issue 3, 2003, Pages 686-693

  Brown, Elizabeth R ^a   Ibrahim, Joseph G ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b IL   (United States)

Author keywords

Cancer vaccines; Cure model; Joint longitudinal and survival model; Longitudinal mixture model; Markov chain Monte Carlo

Indexed keywords

BAYESIAN NETWORKS; CURING; DISEASES; MARKOV PROCESSES; VACCINES;

CANCER VACCINE; CURE MODELS; JOINT LONGITUDINAL AND SURVIVAL MODEL; LONGITUDINAL DATA; LONGITUDINAL MIXTURE MODEL; LONGITUDINAL MODELS; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MIXTURE MODELING; SURVIVAL MODEL;

MEDICAL APPLICATIONS;

ALPHA2B INTERFERON; CANCER VACCINE; GANGLIOSIDE GM2; IMMUNOLOGICAL ADJUVANT; KEYHOLE LIMPET HEMOCYANIN; QS 21;

BAYESIAN ANALYSIS; BIOMETRY; CANCER; VACCINATION;

ARTICLE; BAYES THEOREM; CANCER; CANCER RECURRENCE; CLINICAL TRIAL; FOLLOW UP; HUMAN; IMMUNE RESPONSE; IMMUNOLOGY; LONGITUDINAL STUDY; MONTE CARLO METHOD; PROBABILITY; SURVIVAL RATE; VACCINATION;

EID: 0041833567     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/1541-0420.00079     Document Type: Article

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