A Class of Accelerated Means Regression Models for Multiple Type Recurrent Event Data

June Liu, Huanbin Liu

Recurrent events are frequently observed in biomedical studies, and often more than one type of event is of interest. In this paper, we first propose a general class of accelerated means regression models for multiple type recurrent event data. We then formulate estimating equations for the model parameters, and finally examine asymptotic properties of the parameter estimators.