Conditional methodology for individual case history data

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. (The full text of this publication is not available from this repository)

The full text of this publication is not available from this repository. (Contact us about this Publication)
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)
  • Depositors only (login required):