Abstract:
:Recent developments in the Cormack-Jolly-Seber (CJS) model for analyzing capture-recapture data have focused on allowing the capture and survival rates to vary between individuals. Several methods have been developed in which capture and survival are functions of auxiliary variables that may be discrete, constant over time, or apply to the population as a whole, but the problem has not been solved for continuous covariates that vary with both time and individual. This article proposes a new method to handle such covariates by modeling changes over time via a diffusion process and using logistic functions to link the variable to the CJS capture and survival rates. Bayesian methods are used to estimate the model parameters. The method is applied to study the effect of body mass on the survival of the North American meadow vole, Microtus pennsylvanicus.
journal_name
Biometricsjournal_title
Biometricsauthors
Bonner SJ,Schwarz CJdoi
10.1111/j.1541-0420.2005.00399.xsubject
Has Abstractpub_date
2006-03-01 00:00:00pages
142-9issue
1eissn
0006-341Xissn
1541-0420pii
BIOM399journal_volume
62pub_type
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