title: A Bayesian approach to assess interaction between known risk factors: the risk of lung cancer from exposure to asbestos and smoking.
abstract: We review the literature on the combined effect of asbestos exposure and smoking on lung cancer, and explore a Bayesian approach to assess evidence of interaction. Previous approaches have focussed on separate tests for an additive or multiplicative relation. We extend these approaches by exploring the strength of evidence for either relation using approaches which allow the data to choose between both models. We then compare the different approaches.
authors: School of Mathematical Sciences, Queensland University of Technology, Australia. d.wraith@qut.edu.au
authors: D
authors: D
authors: Wraith
authors: K
authors: K
authors: Mengersen
mesh_terms: D001194:Asbestos / Q000633:toxicity*; D001499:Bayes Theorem; D006801:Humans; D008175:Lung Neoplasms / Q000209:etiology*; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012907:Smoking / Q000009:adverse effects*
chemical_list: D001194:Asbestos