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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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.
|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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