Some Statistical Considerations in the Analysis of Case‐Control Studies When the Exposure Variables Are Continuous Measurements
Some Statistical Considerations in the Analysis of Case‐Control Studies When the Exposure Variables Are Continuous Measurements
复制标题
当暴露变量是连续测量时，病例对照研究分析中的一些统计注意事项
作者：
Chris Robertson;P. Boyle;Chung Hsieh;G. Macfarlane;P. Maisonneuve
本文着重于在病例对照研究中，当暴露变量为连续测量时，在估计剂量反应时应考虑的一些统计学因素。第一点是，病例和对照暴露分布的差异变异性的影响不能与真正的二次型风险模型区分开来。第二点是，当处理零表示没有接触的变量时，重要的是将未接触的受试者与那些接触过的受试者分开对待。如果做不到这一点，可能会导致病例和对照之间的差异可变性，并导致与二次风险模型的混淆。这两点都用一个例子来说明。
This paper focuses on some statistical considerations in the estimation of dose-response in case-control studies when the exposure variables are continuous measurements. The first point is that the effects of differential variability in the exposure distributions over cases and controls cannot be differentiated from a true quadratic risk model. The second point is that when dealing with variables where zero denotes no exposure, it is important to treat the unexposed subjects separately from those who were exposed. Failure to do so can lead to differential variability among cases and controls and the resulting confounding with a quadratic risk model. Both of these points are illustrated by an example.