Imputation methods for doubly censored HIV data.

نویسندگان

  • Wei Zhang
  • Ying Zhang
  • Kathryn Chaloner
  • Jack T Stapleton
چکیده

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.

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عنوان ژورنال:
  • Journal of statistical computation and simulation

دوره 79 10  شماره 

صفحات  -

تاریخ انتشار 2009