Capture-Recapture Methods for the Social and Medical Sciences

Dankmar Böhning is Professor of Medical Statistics and Director of the Southampton Statistical Sciences Research Institute at the University of Southampton. His interests are in capture-recapture modelling, meta-analysis and research synthesis as well as mixed modelling. John Bunge is Professor of Statistics in the Department of Statistical Science of Cornell University. His interests are capture-recapture modelling, microbiome statistics, and nonclassical probability distribution theory. Peter. G.M. van der Heijden is Professor of Social Statistics at the University of Utrecht and at the University of Southampton. His interests are capture-recapture modelling for the Social Sciences and Official Statistics.

I Introductory Part



Basic concepts of capture-recapture



II Ratio Regression Models



Ratio regression and capture-recapture



The Conway-Maxwell-Poisson distribution and capture-recapture count data



The geometric distribution, the ratio plot under the null and the burden of Dengue Fever in Chiang Mai province



A ratio regression approach to estimate the size of the Salmonella infected flock population using validation information



III Meta-Analysis in Capture–Recapture



On meta-analysis in capture-recapture



A case study on maritime accidents using meta-analysis in capture-recapture



A meta-analytic generalization of the Lincoln-Petersen-estimator for mark-and-resight studies



IV Extensions of Single Source Models



Estimating the population size via the empirical probability generating function



Convex estimation



Non-parametric estimation of the population size using the empirical probability generating function



Extending the truncated Poisson regression model to a time-at-risk model



Extensions of the Chao-estimator for covariate information: Poisson case



Population size estimation for one-inflated count data based upon the geometric distribution



V Multiple Sources



Dual and multiple system estimation: fully observed and incomplete covariates



Population size estimation in CRC Models with continuous covariates



Trimmed dual system estimation



Estimation of non-registered usual residents in the Netherlands



VI Latent Variable Models



Population size estimation using a categorical latent variable



Latent class - Rasch models and marginal extensions



Performance of hierarchical log-linear models for a heterogeneous population with three lists



A multidimensional Rasch model for multiple system estimation where the number of lists changes over time



Extending the Lincoln-Petersen estimator when both sources are counts



VII Bayesian Approaches



Objective Bayes estimation of the population size using Kemp distributions



Bayesian population size estimation with censored counts



VIII Miscellaneous Topics



Uncertainty assessment in capture-recapture studies and the choice of sampling effort