Efficient estimation in a non-proportional hazards model in survival analysis

Abstract

A non-proportional hazards regression model is considered in which the structural parameter is the vector of regression coefficients and the nuisance parameter is a vector of arbitrarily high dimension. The asymptotic distribution as well as the efficiency and consistency of jointly (implicitly) defined estimators of the structural and nuisance parameters of the model are established.