Bayesian extrapolation of space-time trends in cancer registry data

Biometrics

Volumn 60, Issue 4, 2004, Pages 1034-1042

  Schmid, Volker ^a   Held, Leonhard ^a  

^a UNIVERSITY OF MUNICH   (Germany)

Author keywords

Age period cohort model; Disease mapping; Markov chain Monte Carlo; Markov random field models; Space time interaction

Indexed keywords

BAYESIAN NETWORKS; DISEASES; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; MARKOV PROCESSES;

AGE-PERIOD-COHORT MODELS; BAYESIAN; DISEASE MAPPING; GAUSSIAN MARKOV RANDOM FIELD; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MARKOV RANDOM FIELD MODEL; SPACE-TIME INTERACTIONS; SPACETIME; TIME TRENDS;

INFERENCE ENGINES;

CANCER;

ADULT; AGE DISTRIBUTION; AGED; ALGORITHM; BAYES THEOREM; CANCER MORTALITY; CANCER REGISTRY; COHORT ANALYSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; GERMANY; HUMAN; MAJOR CLINICAL STUDY; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PREDICTION; PROBABILITY; REVIEW; STATISTICAL MODEL; STOMACH CANCER;

EID: 10944241434     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2004.00259.x     Document Type: Review

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