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Non-parametric estimation with doubly censored data.
- Source :
-
Journal of Applied Statistics . Jan99, Vol. 26 Issue 1, p45-58. 14p. 1 Diagram, 1 Chart, 5 Graphs. - Publication Year :
- 1999
-
Abstract
- Data from longitudinal studies in which an initiating event and a subsequent event occur in sequence are called 'doubly censored' data if the time of both events is interval-censored. This paper is concerned with using doubly censored data to estimate the distribution function of the so-called 'duration time', i.e. the elapsed time between the originating event and the subsequent event. The paper proposes a generalization of the Gomez and Lagakos two-step method for the case where both the time to the initiating event and the duration time are continuous. This approach is applied to estimate the AIDS-latency time from a haemophiliacs cohort. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MATHEMATICAL statistics
*STATISTICS
Subjects
Details
- Language :
- English
- ISSN :
- 02664763
- Volume :
- 26
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Applied Statistics
- Publication Type :
- Academic Journal
- Accession number :
- 1782671
- Full Text :
- https://doi.org/10.1080/02664769922647