Bayesian modeling of multiple lesion onset and growth from interval-censored data

Biometrics

Volumn 60, Issue 3, 2004, Pages 676-683

  Dunson, D B ^a   Holloman, C ^b   Calder, C ^c   Gunn, L H ^d  

^a NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

^b BATTELLE MEMORIAL INSTITUTE   (United States)

^c OHIO STATE UNIVERSITY   (United States)

^d GEORGIA SOUTHERN UNIVERSITY   (United States)

Author keywords

Interval counts; Interval censored; Multiple event times; Panel counts; Poisson process; Recurrent events; Screening data; Tumor multiplicity

Indexed keywords

BAYESIAN NETWORKS; DIAGNOSIS; MARKOV PROCESSES;

INTERVAL COUNTS; INTERVAL-CENSORED; MULTIPLE EVENT TIME; MULTIPLE EVENTS; ONSET-TIME; PANEL COUNT; POISSON PROCESS; RECURRENT EVENTS; SCREENING DATA; TUMOR MULTIPLICITY;

TUMORS;

BAYESIAN ANALYSIS; MONITORING;

ALGORITHM; ARTICLE; BAYES THEOREM; CANCER GROWTH; DATA ANALYSIS; GROWTH RATE; HUMAN; MONTE CARLO METHOD; STOCHASTIC MODEL; UTERUS MYOMA;

EID: 4444334824     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2004.00217.x     Document Type: Article

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