The use of mixed logit models to reflect heterogeneity in capture-recapture studies.
Biometrics
; 55(1): 294-301, 1999 Mar.
Article
en En
| MEDLINE
| ID: mdl-11318172
ABSTRACT
We examine issues in estimating population size N with capture-recapture models when there is variable catchability among subjects. We focus on a logistic-normal mixed model, for which the logit of the probability of capture is an additive function of a random subject and a fixed sampling occasion parameter. When the probability of capture is small or the degree of heterogeneity is large, the log-likelihood surface is relatively flat and it is difficult to obtain much information about N. We also discuss a latent class model and a log-linear model that account for heterogeneity and show that the log-linear model has greater scope. Models assuming homogeneity provide much narrower intervals for N but are usually highly overly optimistic, the actual coverage probability being much lower than the nominal level.
Buscar en Google
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Modelos Logísticos
/
Biometría
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Animals
Idioma:
En
Revista:
Biometrics
Año:
1999
Tipo del documento:
Article
País de afiliación:
Estados Unidos