A Bayesian approach to assess interaction between known risk factors: the risk of lung cancer from exposure to asbestos and smoking

DOI10.1177/0962280206075525zbMATH Open1156.62370OpenAlexW1964477424WikidataQ36910197 ScholiaQ36910197MaRDI QIDQ3597108

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Publication date: 9 February 2009

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/0962280206075525

zbMATH Keywords

tablesPoisson regression models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Cites Work

• Estimating the smoothing parameter in generalized spline-based regression: II. Empirical and fully Bayesian approaches. Experiences with Gibbs sampling in simulated results

Related Items (2)

Predicting long-term asbestos prevalence in human lungs, lymph nodes, and remote organs from short-term murine experiments ⋮ Bayesian Estimation of the Probability of Asbestos Exposure from Lung Fiber Counts

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