title: Heterogeneous capture-recapture models with covariates: a partial likelihood approach for closed populations.
abstract: In practice, when analyzing data from a capture-recapture experiment it is tempting to apply modern advanced statistical methods to the observed capture histories. However, unless the analysis takes into account that the data have only been collected from individuals who have been captured at least once, the results may be biased. Without the development of new software packages, methods such as generalized additive models, generalized linear mixed models, and simulation-extrapolation cannot be readily implemented. In contrast, the partial likelihood approach allows the analysis of a capture-recapture experiment to be conducted using commonly available software. Here we examine the efficiency of this approach and apply it to several data sets.
authors.affiliation: Department of Mathematics and Statistics, The University of Melbourne, Victoria 3010, Australia. jhs@ms.unimelb.edu.au
authors.forename: Jakub
authors.initials: J
authors.lastname: Stoklosa
authors.forename: Wen-Han
authors.initials: WH
authors.lastname: Hwang
authors.forename: Sheng-Hai
authors.initials: SH
authors.lastname: Wu
authors.forename: Richard
authors.initials: R
authors.lastname: Huggins
mesh_terms: D000818:Animals; D019352:Censuses; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004641:Emigration and Immigration / Q000706:statistics & numerical data*; D016013:Likelihood Functions; D015233:Models, Statistical; D011156:Population Density