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Modelling Age-Specific Survival in Nesting Studies, Using a General Approach for Doubly-Censored and Truncated Data

Dennis M. Heisey and Erik V. Nordheim
Biometrics
Vol. 51, No. 1 (Mar., 1995), pp. 51-60
DOI: 10.2307/2533314
Stable URL: http://www.jstor.org/stable/2533314
Page Count: 10
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Modelling Age-Specific Survival in Nesting Studies, Using a General Approach for Doubly-Censored and Truncated Data
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Abstract

In typical nest survival studies, the observed sample of nests is usually biased by left-truncation (i.e., only active nests enter the study); additionally the failure data may be doubly censored, because the exact dates of nest initiation and failure are uncertain. We present a general bivariate contingency table approach for analyzing such data. We use weakly structured step spline hazard models, which avoid estimability problems encountered in a strictly nonparametric approach, yet still permit flexibility. Our method eliminates a potential source of bias noted by Heisey and Nordheim (1990, Biometrics 46, 855-862) in the nest survival method of Pollock and Cornelius (1988, Biometrics 44, 397-404). We compare our approach to related techniques developed for estimating the incubation distribution of AIDS.

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