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Title: Estimation of capture probabilities using generalized estimating equations and mixed effects approaches
Authors: Akanda, Md. Abdus Salam
Alpizar-Jara, Russell
Keywords: Closed population
Generalized linear mixed models
Generalized linear models
Population size estimation
Issue Date: Apr-2014
Publisher: John Wiley and Sons Ltd
Citation: Akanda, M.A.S.; Alpizar-Jara, R (2014). Estimation of capture probabilities using generalized estimating equations and mixed effects approaches. Ecology and Evolution, Volume: 4 Issue: 7 Pages: 1158-1165. DOI: 10.1002/ece3.1000
Abstract: Modeling individual heterogeneity in capture probabilities has been one of the most challenging tasks in capture-recapture studies. Heterogeneity in capture probabilities can be modeled as a function of individual covariates, but correlation structure among capture occasions should be taking into account. A proposed generalized estimating equations (GEE) and generalized linear mixed modeling (GLMM) approaches can be used to estimate capture probabilities and population size for capture-recapture closed population models. An example is used for an illustrative application and for comparison with currently used methodology. A simulation study is also conducted to show the performance of the estimation procedures. Our simulation results show that the proposed quasi-likelihood based on GEE approach provides lower SE than partial likelihood based on either generalized linear models (GLM) or GLMM approaches for estimating population size in a closed capture-recapture experiment. Estimator performance is good if a large proportion of individuals are captured. For cases where only a small proportion of individuals are captured, the estimates become unstable, but the GEE approach outperforms the other methods.
Type: article
Appears in Collections:CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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