Efficient IPCW Regression for Recurrent Event Data
Specialeforsvar: Hao Wang
Titel: Efficient IPCW Regression for Recurrent Event Data
Abstract: Recurrent events are widely considered in many fields. Some discussion about semiparametric regression in a stochastic process perspective draw strict assumptions, which, in our view, is not general enough. We describe the framework of deriving efficient regression model and derive a working model for the augmented IPCW regressuin model. We discuss its foundation and behaviors under different cases like heterogeneity. Simulation studied in conducted to verified the improvement we make and we implement the model on a real-world data
Vejleder: Susanne Ditlevsen, Thomas Scheike, SUND
Censor: Klaus K. Holst, Mærsk