title: Logistic regression in capture-recapture models.
abstract: The effect of population heterogeneity in capture-recapture, or dual registration, models is discussed. An estimator of the unknown population size based on a logistic regression model is introduced. The model allows different capture probabilities across individuals and across capture times. The probabilities are estimated from the observed data using conditional maximum likelihood. The resulting population estimator is shown to be consistent and asymptotically normal. A variance estimator under population heterogeneity is derived. The finite-sample properties of the estimators are studied via simulation. An application to Finnish occupational disease registration data is presented.
authors.affiliation: Department of Statistics, University of Illinois, Urbana 61801.
authors.forename: J M
authors.initials: JM
authors.lastname: Alho
mesh_terms: D001699:Biometry; D006801:Humans; D016015:Logistic Models; D015233:Models, Statistical; D009784:Occupational Diseases / Q000453:epidemiology; D011157:Population Dynamics; D012044:Regression Analysis