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Conditional methodology for individual case history data

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  • E. A. Catchpole
  • B. J. T. Morgan
  • T. Coulson

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.

Suggested Citation

  • E. A. Catchpole & B. J. T. Morgan & T. Coulson, 2004. "Conditional methodology for individual case history data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 53(1), pages 123-131, January.
    • Handle: RePEc:bla:jorssc:v:53:y:2004:i:1:p:123-131
    DOI: 10.1111/j.1467-9876.2004.00430.x
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    Cited by:

    1. Danilo Alunni Fegatelli & Luca Tardella, 2016. "Flexible behavioral capture–recapture modeling," Biometrics, The International Biometric Society, vol. 72(1), pages 125-135, March.
    2. Riki Herliansyah & Ruth King & Stuart King, 2022. "Laplace Approximations for Capture–Recapture Models in the Presence of Individual Heterogeneity," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(3), pages 401-418, September.
    3. Simon J. Bonner & Wei Zhang & Jiaqi Mu, 2024. "On the identifiability of the trinomial model for mark‐recapture‐recovery studies," Environmetrics, John Wiley & Sons, Ltd., vol. 35(1), February.

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