Wraith D, Mengersen K
School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
Stat Med. 2007 Feb 28;26(5):1150-69. doi: 10.1002/sim.2602.
We review the literature on the combined association between lung cancer and two environmental exposures, asbestos exposure and smoking, and explore a Bayesian approach to assess evidence of interaction between the exposures. The meta-analysis combines separate indices of additive and multiplicative relationships and multivariate relative risk estimates. By making inferences on posterior probabilities we can explore both the form and strength of interaction. This analysis may be more informative than providing evidence to support one relation over another on the basis of statistical significance. Overall, we find evidence for a more than additive and less than multiplicative relation.
我们回顾了关于肺癌与两种环境暴露因素（石棉暴露和吸烟）联合关联的文献，并探索一种贝叶斯方法来评估这些暴露因素之间相互作用的证据。荟萃分析结合了相加和相乘关系的单独指标以及多变量相对风险估计。通过对后验概率进行推断，我们可以探究相互作用的形式和强度。这种分析可能比基于统计显著性为支持一种关系而非另一种关系提供证据更具信息量。总体而言，我们发现存在大于相加且小于相乘关系的证据。
