Ulm K
Institute for Medical Statistics and Epidemiology, Technical University of Munich, Federal Republic of Germany.
Am J Epidemiol. 1990 Feb;131(2):373-5. doi: 10.1093/oxfordjournals.aje.a115507.
In analyzing standardized mortality ratios (SMRs), it is of interest to calculate a confidence interval for the true SMR. The exact limits of a specific interval can be obtained by means of the Poisson distribution either within an iterative procedure or by one of the tables. The limits can be approximated in using one of various shortcut methods. In this paper, a method is described for calculating the exact limits in a simple and easy way. The method is based on the link between the chi 2 distribution and the Poisson distribution. Only a table of the chi 2 distribution is necessary.
在分析标准化死亡率(SMR)时,计算真实SMR的置信区间很有意义。特定区间的确切界限可以通过泊松分布,在迭代过程中或使用其中一个表格来获得。这些界限可以使用各种快捷方法之一进行近似。本文描述了一种以简单易行的方式计算确切界限的方法。该方法基于卡方分布与泊松分布之间的联系。只需要一个卡方分布表。