title: Analysis of disease risks using ancillary risk factors, with application to job-exposure matrices.
abstract: Epidemiological studies of disease can make use of ancillary risk-factors, acquired from individuals outside the disease study. For example, several disease studies might use the same job-exposure matrix to quantify risks due to occupational exposure to industrial agents. We construct a graphical model to combine a logistic regression disease model with models for the ancillary data and the risk-factor distribution in the population. We estimate the graphical model using Gibbs sampling, and in simulations compare it with methods of direct substitution into logistic regression.
authors.affiliation: Medical Research Council Biostatistics Unit, Fair View Lodge, Cambridge, U.K.
authors.forename: W R
authors.initials: WR
authors.lastname: Gilks
authors.forename: S
authors.initials: S
authors.lastname: Richardson
mesh_terms: D001499:Bayes Theorem; D003430:Cross-Sectional Studies; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D015233:Models, Statistical; D009784:Occupational Diseases / Q000453:epidemiology* / Q000209:etiology; D016273:Occupational Exposure / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012307:Risk Factors