Non-parametric estimation with doubly censored data

Guadalupe Gomez and M. Luz Calle

Journal of Applied Statistics, 1999, vol. 26, issue 1, 45-58

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.

Date: 1999
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/02664769922647

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