The Analysis of Continuous Mark-Recapture Data

Mark-Recapture methodology has been one of the major
experimental methods for gaining information on
wildlife populations over the last 100 years. The
standard methodology for assessing mortality rates in
open populations (the Cormack-Jolly-Seber method and
its expansions) has assumed that the recapture are
done instantaneously, or at least during a very short
interval. This is often not the case as the sampling
is often done during a season or a long term field
trip. This text presents methods for analysing
capture- and mortality rates from mark-recapture data
where the data are not collected instantaneously, but
more or less continously. The metod is based on
semi-parametric models often used in survival
analysis, such as the Kaplan-Meier or Cox models. The
methods are illustrated using real data on fish and
bird poulations.

Autorentext

Inge Christoffer Olsen is currently emplyed as a biostatisticianat Smerud Medical Research International AS dealing with analysisof clinical trials. He received his Ph.D. from the NorwegianUniversity of Science and Technology, where he studied underHåvard Rue.

Klappentext

Mark-Recapture methodology has been one of the majorexperimental methods for gaining information onwildlife populations over the last 100 years. Thestandard methodology for assessing mortality rates inopen populations (the Cormack-Jolly-Seber method andits expansions) has assumed that the recapture aredone instantaneously, or at least during a very shortinterval. This is often not the case as the samplingis often done during a season or a long term fieldtrip. This text presents methods for analysingcapture- and mortality rates from mark-recapture datawhere the data are not collected instantaneously, butmore or less continously. The metod is based onsemi-parametric models often used in survivalanalysis, such as the Kaplan-Meier or Cox models. Themethods are illustrated using real data on fish andbird poulations.