Breslow N E, Cologne J
Biometrics. 1986 Dec;42(4):949-54.
McCullagh's (1984, Journal of the Royal Statistical Society, Series B 46, 250-256) approximation to the conditional maximum likelihood estimator in log odds ratio regression models is shown to have negligible asymptotic bias unless the odds ratios are large and the sample sizes in individual 2 X 2 tables are very small. In application to two sets of case-control data, it yields results virtually indistinguishable from those of the conditional analysis. A generalization of the Mantel-Haenszel estimator proposed by Davis (1985, Biometrics 41, 487-495) does not approximate the conditional results nearly as well.
麦卡洛（1984年，《皇家统计学会杂志》，B辑46卷，250 - 256页）在对数优势比回归模型中对条件最大似然估计量的近似方法表明，除非优势比很大且各个2×2表格中的样本量非常小，否则其渐近偏差可忽略不计。在应用于两组病例对照数据时，它产生的结果与条件分析的结果几乎无法区分。戴维斯（1985年，《生物统计学》41卷，487 - 495页）提出的曼特尔 - 亨泽尔估计量的推广方法对条件结果的近似效果则远不如前者。
