Semiparametric estimation of the accelerated mean model with panel count data under informative examination times.

ABSTRACT: Panel count data arise when the number of recurrent events experienced by each subject is observed intermittently at discrete examination times. The examination time process can be informative about the underlying recurrent event process even after conditioning on covariates. We consider a semiparametric accelerated mean model for the recurrent event process and allow the two processes to be correlated through a shared frailty. The regression parameters have a simple marginal interpretation of modifying the time scale of the cumulative mean function of the event process. A novel estimation procedure for the regression parameters and the baseline rate function is proposed based on a conditioning technique. In contrast to existing methods, the proposed method is robust in the sense that it r

SUBMITTER: Chiou SH 

PROVIDER: S-EPMC6026085 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature