ON THE EDGEWORTH EXPANSION AND BOOTSTRAP APPROXIMATION FOR THE COX REGRESSION-MODEL UNDER RANDOM CENSORSHIP

We establish the one-term Edgeworth expansion for various statistics related to Cox semiparametric regression model when the covariate is one-dimensional and the observations are i.i.d. We show that the bootstrap approximation method is second-order correct. The second-order-correct estimates of the sampling distribution can be obtained without Monte Carlo simulation. We pay special attention to the Studentized version of the statistics and show that their distributions are different from those of the original statistics to order n-1/2.