Chang I M, Gelman R, Pagano M
J Chronic Dis. 1982;35(8):669-74. doi: 10.1016/0021-9681(82)90019-4.
A method is presented for correcting distribution function estimators for distortions in the joint distribution of covariates in the subsamples receiving different treatments. This form of standardization is useful for depicting multivariate analyses and predicting population behavior. Furthermore, it also proves useful for comparing two trials which differ in patient mix and for adjusting estimates for know imbalances in patient characteristics. Standardization though important, is not often used in clinical trials because of the complexities introduced by multiple covariates. The proposed method overcomes these difficulties in a wide class of analyses.
本文提出了一种方法，用于校正接受不同治疗的子样本中协变量联合分布的扭曲对分布函数估计量的影响。这种标准化形式对于描述多变量分析和预测总体行为很有用。此外，它还被证明对于比较患者构成不同的两项试验以及针对已知的患者特征不平衡调整估计量很有用。标准化虽然很重要，但由于多个协变量带来的复杂性，在临床试验中并不常用。所提出的方法在广泛的一类分析中克服了这些困难。
