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Capture-Recapture Methods for the Social and Medical Sciences
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Main description:

Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches. The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.


Contents:

I Introductory Part Basic concepts of capture-recapture - Dankmar Bohning, John Bunge, and Peter G.M. van der Heijden II Ratio Regression Models Ratio regression and capture-recapture - Marco Alfo, Dankmar Bohning and Irene Rocchetti The Conway-Maxwell-Poisson distribution and capture-recapture count data - Antonello Maruotti and Orasa Anan The geometric distribution, the ratio plot under the null and the burden of Dengue Fever in Chiang Mai province - Dankmar Bohning and Veerasak Punyapornwithaya A ratio regression approach to estimate the size of the Salmonella infected flock population using validation information - Carla Azevedo, Dankmar Bohning and Mark Arnold III Meta-Analysis in Capture-Recapture On meta-analysis in capture-recapture - John Bunge A case study on maritime accidents using meta-analysis in capture-recapture - Dankmar Bohning and John Bunge A meta-analytic generalization of the Lincoln-Petersen-estimator for mark-and-resight studies - Dankmar Bohning, Mehmet Orman, Timur Kose, and John Bunge IV Extensions of Single Source Models Estimating the population size via the empirical probability generating function - John Bunge and Sarah Sernaker Convex estimation - Cecile Durot, Jade Giguelay, Sylvie Huet, Francois Koladjo, and Stephane Robin Non-parametric estimation of the population size using the empirical probability generating function - Pedro Puig Extending the truncated Poisson regression model to a time-at-risk model - Maarten J.L.F. Cruyff, Thomas F. Husken, and Peter G.M. van der Heijden Extensions of the Chao-estimator for covariate information: Poisson case - Alberto Vidal-Diez and Dankmar Bohning Population size estimation for one-inflated count data based upon the geometric distribution - Panicha Kaskasamkul and Dankmar Bohning V Multiple Sources Dual and multiple system estimation: fully observed and incomplete covariates - Peter G.M. van der Heijden, Maarten Cruyff, Joe Whittaker, Bart F.M. Bakker and Paul A. Smith Population size estimation in CRC Models with continuous covariates - Eugene Zwane Trimmed dual system estimation - Li-Chun Zhang and John Dunne Estimation of non-registered usual residents in the Netherlands - Bart F. M. Bakker, Peter G. M. van der Heijden, and Susanna C. Gerritse VI Latent Variable Models Population size estimation using a categorical latent variable - Elena Stanghellini and Maria Giovanna Ranalli Latent class - Rasch models and marginal extensions - Francesco Bartolucci and Antonio Forcina Performance of hierarchical log-linear models for a heterogeneous population with three lists - Zhiyuan Ma, Chang Xuan Mao, and Yitong Yang A multidimensional Rasch model for multiple system estimation where the number of lists changes over time - Elvira Pelle, David J. Hessen, and Peter G. M. van der Heijden Extending the Lincoln-Petersen estimator when both sources are counts - Rattana Lerdsuwansri and Dankmar Bohning VII Bayesian Approaches Objective Bayes estimation of the population size using Kemp distributions - Kathryn Barger and John Bunge Bayesian population size estimation with censored counts - Danilo Alunni Fegatelli, Alessio Farcomeni, and Luca Tardella VIII Miscellaneous Topics Uncertainty assessment in capture-recapture studies and the choice of sampling effort - Dankmar Bohning, John Bunge, and Peter G.M. van der Heijden


PRODUCT DETAILS

ISBN-13: 9781351647977
Publisher: Productivity Press
Publication date: July, 2017
Pages: 456

Subcategories: Epidemiology, Psychiatry