A Bayesian Hierarchical Approach for Combining Case‐Control and Prospective Studies

DOI10.1111/j.0006-341X.1999.00858.xzbMath1059.62681OpenAlexW2123579535WikidataQ48680616 ScholiaQ48680616MaRDI QIDQ4666659

Joellen M. Schildkraut, Peter Mueller, Luca Tardella, Giovanni Parmigiani

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.00858.x

zbMATH Keywords

mixturehierarchical modelovarian cancersemiparameter Bayes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) General nonlinear regression (62J02) Numerical analysis or methods applied to Markov chains (65C40)

Related Items

Bayesian semiparametric analysis for two-phase studies of gene-environment interaction, Parametric Bayesian analysis of case-control data with imprecise exposure measurements, Bayesian methods in meta-analysis and evidence synthesis, Nonparametric Bayes modeling for case control studies with many predictors

Cites Work

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