Chi-Squared Goodness-of-Fit Tests for the Proportional Hazards Regression Model
提出了一类适用于Cox比例风险模型的卡方拟合优度检验，通过比较观测与期望频数来评估模型拟合效果，尤其适用于临床试验中的常见问题。
A class of omnibus chi-squared goodness-of-fit tests is presented for the model, relating failure time to covariate values, proposed by Cox (1972). These tests are based on the expected and observed frequency that a data point, representing a failure with associated covariates, falls into one of L mutually exclusive categories. Different partitions of the space of covariate values and failure time will yield different tests. Certain partitions are suggested for the goodness-of-fit problems commonly encountered in clinical trials.