A new method for analysing discrete life history data with missing covariate values

Catchpole, Edward A. and Morgan, Byron J. T. and Tavecchia, Giacomo (2008) A new method for analysing discrete life history data with missing covariate values. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70 (2). pp. 445-460. ISSN 1369-7412. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not available from this repository. (Contact us about this Publication)
Official URL


Regular censusing of wild animal populations produces data for estimating their annual survival. However, there can be missing covariate data; for instance time varying covariates that are measured on individual animals often contain missing values. By considering the transitions that occur from each occasion to the next, we derive a novel expression for the likleihood for mark-recapture-recovery data, which is equivalent to the traditional likelihood in the case where no covariate data are missing, and which provides a natural way of dealing with covariate data that are missing, for whatever reason. Unlike complete-case analysis, this approach does not exclude incompletely observed life histories, uses all available data and produces consistent estimators. In a simulation study it performs better overall then alternative methods when there are missing covariate data.

Item Type: Article
Uncontrolled keywords: complete-case analysis; life history data; maximum likelihood; missing data; renewal process; survival analysis; time varying individual covariates; trinomial distribution
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science
Depositing User: Byron Morgan
Date Deposited: 14 May 2008 08:29
Last Modified: 12 Jun 2014 08:29
Resource URI: https://kar.kent.ac.uk/id/eprint/3173 (The current URI for this page, for reference purposes)
  • Depositors only (login required):