Journal article
Imputation methods for doubly censored HIV data
Journal of statistical computation and simulation, Vol.79(10), pp.1245-1257
10/01/2009
DOI: 10.1080/00949650802255618
PMCID: PMC3034152
PMID: 21304834
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.
Details
- Title: Subtitle
- Imputation methods for doubly censored HIV data
- Creators
- Wei Zhang - Department of Biometrics , Boehringer Ingelheim PharmaceuticalsYing Zhang - Department of Biostatistics , University of IowaKathryn Chaloner - Department of Biostatistics , University of IowaJack T Stapleton - Department of Internal Medicine , University of Iowa and Iowa City VA Medical Center
- Resource Type
- Journal article
- Publication Details
- Journal of statistical computation and simulation, Vol.79(10), pp.1245-1257
- DOI
- 10.1080/00949650802255618
- PMID
- 21304834
- PMCID
- PMC3034152
- NLM abbreviation
- J Stat Comput Simul
- ISSN
- 0094-9655
- eISSN
- 1563-5163
- Publisher
- Taylor & Francis
- Language
- English
- Date published
- 10/01/2009
- Academic Unit
- Microbiology and Immunology; Infectious Diseases; Internal Medicine
- Record Identifier
- 9984094518702771
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