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Conditional methodology for individual case history data
Authors:E. A. Catchpole  B. J. T. Morgan   T. Coulson
Affiliation:University of New South Wales at the Australian Defence Force Academy, Canberra, Australia.; University of Kent, Canterbury, UK.; University of Cambridge, UK.
Abstract:Summary.  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.
Keywords:Conditional analysis    Integrated analysis    Mark–recapture–recovery    Soay sheep
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