title: Estimating the cumulative mean function for history process with time-dependent covariates and censoring mechanism.
abstract: In this paper, an approach to estimating the cumulative mean function for history process with time dependent covariates and right censored time-to-event variable is developed using the combined technique of joint modeling and inverse probability weighting method. The consistency of proposed estimator is derived. Theoretical analysis and simulation studies indicate that the estimator given in this paper is quite recommendable to practical applications because of its simplicity and accuracy. A real data set from a multicenter automatic defibrillator implantation trial is used to illustrate the proposed methodology. Copyright © 2016 John Wiley & Sons, Ltd.
authors.affiliation: Department of Mathematics and Statistics, University of Regina, Regina, SK S4S 0A2, Canada. deng@uregina.ca.
authors.forename: Dianliang
authors.initials: D
authors.lastname: Deng
mesh_terms: D015233:Models, Statistical; D011336:Probability
keywords: cumulative mean function; history process; inverse probability weighting method; joint modeling; medical cost