Samples sizes are calculated for case-control studies where 1:1 matching has been employed, and where the goal is the interval estimation of the odds ratio. The optimal sample size is defined to be the smallest value for which a 100(1 - alpha)% confidence interval for the log odds ratio will not exceed a specified width 2 delta with specified probability (1 - gamma). This approach is similar in spirit to the power-based approach for sample size determination when significance testing is the goal. Tables of sample sizes are presented for various choices of parameters. We also find considerable disagreement with a published method based on expected numbers of discordant pairs.

译文

:样本大小是为个案对照研究计算的,其中采用了1:1匹配,并且目标是比值比的区间估计。最佳样本大小定义为对数优势比的100(1-alpha)%置信区间不会以指定的概率(1- gamma)超过指定的宽度2 delta的最小值。当以显着性测试为目标时,该方法在本质上类似于确定样本大小的基于幂的方法。列出了各种参数选择的样本量表。我们还发现与基于预期的不一致对数的已发布方法存在很大的分歧。

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