title: Imputation methods for doubly censored HIV data.
abstract: In medical research, it is common to have doubly censored survival data: origin time and event time are both subject to censoring. In this paper, we review simple and probability-based methods that are used to impute interval censored origin time and compare the performance of these methods through extensive simulations in the one-sample problem, two-sample problem and Cox regression model problem. The use of a bootstrap procedure for inference is demonstrated.
authors.affiliation: Department of Biometrics, Boehringer Ingelheim Pharmaceuticals, Ridgefield, CT, USA.
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhang
authors.forename: Kathryn
authors.initials: K
authors.lastname: Chaloner
authors.forename: Jack T
authors.initials: JT
authors.lastname: Stapleton