A Bayesian hierarchical approach for combining case-control and prospective studies

Biometrics

Volumn 55, Issue 3, 1999, Pages 858-866

  Müller, Peter ^a   Parmigiani, Giovanni ^a,b   Schildkraut, Joellen ^b   Tardella, Luca ^a,c  

^a DUKE UNIVERSITY   (United States)

^b DUKE CANCER INSTITUTE   (United States)

^c SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Hierarchical model; Mixture; Ovarian cancer; Semiparametric Bayes

Indexed keywords

DISEASE CONTROL; FORECASTING; HIERARCHICAL SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; RISK ASSESSMENT; RISK PERCEPTION;

BAYESIAN; CASE-CONTROL STUDY; COVARIATES; HIERARCHICAL APPROACH; HIERARCHICAL MODEL; OVARIAN CANCERS; PROSPECTIVE STUDY; PROSPECTIVES; RISK FACTORS; SEMI-PARAMETRIC BAYES;

DISEASES;

ARTICLE; BAYES THEOREM; CANCER RISK; CASE CONTROL STUDY; COVARIANCE; MEDICAL DECISION MAKING; NONLINEAR SYSTEM; OVARY CANCER; PROSPECTIVE STUDY; RETROSPECTIVE STUDY; SYSTEM ANALYSIS;

EID: 0032887993     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.1999.00858.x     Document Type: Article

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