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Conditional methodology for individual case history data

Catchpole, Edward A., Morgan, Byron J. T., Tavecchia, Giacomo (2004) Conditional methodology for individual case history data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 53 (1). pp. 123-131. ISSN 0035-9254. (doi:10.1111/j.1467-9876.2004.00430.x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:988)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL
http://dx.doi.org/10.1111/j.1467-9876.2004.00430.x

Abstract

Key ecological studies involve the regular censusing of populations of wild animals, resulting in individual case history data which record when marked individuals, are seen alive and/or found dead. We show how current conditional methods of analysing case history data may be biased. We then show how a correction can be applied, making use of results from a mark-recovery-recapture analysis. This allows a simple investigation of the effect of time-varying individual covariates such as weight that often contain missing values. The work is motivated and illustrated by the study of Soay sheep in the St Kilda archipelago.

Item Type: Article
DOI/Identification number: 10.1111/j.1467-9876.2004.00430.x
Uncontrolled keywords: conditional analysis; integrated analysis; mark-recapture-recovery; soay sheep
Subjects: H Social Sciences > HA Statistics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Judith Broom
Date Deposited: 19 Dec 2007 18:39 UTC
Last Modified: 16 Nov 2021 09:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/988 (The current URI for this page, for reference purposes)
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