Easton D F, Peto J, Babiker A G
Section of Epidemiology, Institute of Cancer Research, Sutton, Surrey, U.K.
Stat Med. 1991 Jul;10(7):1025-35. doi: 10.1002/sim.4780100703.
We discuss the problem of describing multiple group comparisons in survival analysis using the Cox model, and in matched case-control studies. The standard method of comparing the risk in each group with a baseline group is unsatisfactory because the standard errors and confidence limits relate to correlated parameters, all dependent on precision within the baseline group. We describe the construction of standard errors for the parameters of all groups, without the need to select a baseline group. These standard errors can be regarded as relating to roughly independent parameters, so that groups can be compared efficiently without knowledge of the covariances. The method should assist in graphical presentation of relative risks, and in the combination of results from published studies. Two examples are presented.
我们讨论了在生存分析中使用Cox模型以及在匹配病例对照研究中描述多组比较的问题。将每组风险与基线组进行比较的标准方法并不令人满意,因为标准误差和置信区间与相关参数有关,所有这些参数都依赖于基线组内的精度。我们描述了所有组参数标准误差的构建方法,无需选择基线组。这些标准误差可被视为与大致独立的参数相关,因此无需了解协方差就可以有效地比较各组。该方法应有助于相对风险的图形展示以及已发表研究结果的合并。文中给出了两个例子。