Influence Functions for Proportional Hazards Regression
提出了比例风险模型中回归参数的影响函数，通过计算每个观测和协变量的经验影响函数，可非正式地识别有影响力的观测，并用斯坦福心脏移植数据等例子说明。
Influence functions for the regression parameters in the proportional hazards model are presented. It is suggested that empirical influence functions, computed for each observation and each covariate, can be useful in an informal way to identify influential observations. This is illustrated on the Stanford heart transplant data and two other examples.