Catchpole, E.A. and Morgan, B.J.T. and Tavecchia, G. (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.
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| 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 |
|---|---|
| Uncontrolled keywords: | conditional analysis; integrated analysis; mark-recapture-recovery; soay sheep |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science |
| Depositing User: | Judith Broom |
| Date Deposited: | 19 Dec 2007 18:39 |
| Last Modified: | 14 Jan 2010 14:01 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/988 (The current URI for this page, for reference purposes) |
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