Two-sample goodness-of-fit tests for additive risk models with censored observations
随机删失观测下两样本加性风险模型的拟合优度检验
The additive risk model assumes that the hazard function associated with a set of covariates is the sum of the baseline hazard function and the regression function of covariates. We propose two different test procedures for checking the adequacy of two-sample additive risk models for randomly censored observations. One is based on the martingale residuals and the other on the difference between weighted estimators of the excess risk. The test statistics are shown to be…