Efficiency Considerations in the Additive Hazards Model with Current Status Data

In: Statistica Neerlandica: journal of the Netherlands Society for Statistics and Operations Research, Volume 55, Issue 3, p. 367-376

Abstract

For current status data, LIN, OAKES and Ying (1998) proposed a procedure for estimation of the regression parameters in the additive hazards model that makes clever use of martingale theory. However, one of the outstanding problems posed in the paper was the issue of efficient estimation, as their estimators do not attain the semiparametric information bound. In this paper, we explore this issue and provide a characterization of the NPMLE. We conduct efficiency comparisons between the NPMLE and the procedure of LINet al. (1998) analytically and numerically through analysis of a dataset from a tumorigenicity experiment.