03890cam a2200541Ii 4500 9781315118741 FlBoTFG 20260210180900.0 m o d cr cnu|||unuuu 190705s2019 flu ob 001 0 eng d OCoLC-P eng rda pn OCoLC-P 9781351645027 (electronic bk.) 1351645021 (electronic bk.) 9781315118741 (electronic bk.) 1315118742 (electronic bk.) 9781351635530 (electronic bk. : Mobipocket) 1351635530 (electronic bk. : Mobipocket) 9781482246421 (electronic bk. : PDF) 1482246422 (electronic bk. : PDF) 9781482246414 (OCoLC)1107493672 (OCoLC-P)1107493672 RA792.5 MAT 029000 bisacsh MED 028000 bisacsh REF 000000 bisacsh PBT bicssc 614.42 23 Martínez-Beneito, Miguel A., author. Disease mapping : from foundations to multidimensional modeling / Miguel A. Martinez-Beneito, Paloma Botella-Rocamora. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2019] ©2019 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period, disease, etc. Although theory will be covered, the applied component will be equally as important with lots of practical examples offered. Features: Discusses the very latest developments on multivariate and multidimensional mapping. Gives a single state-of-the-art framework that unifies most of the previously proposed disease mapping approaches. Balances epidemiological and statistical points-of-view. Requires no previous knowledge of disease mapping. Includes practical sessions at the end of each chapter with WinBUGs/INLA and real world datasets. Supplies R code for the examples in the book so that they can be reproduced by the reader. About the Authors: Miguel A. Martinez Beneito has spent his whole career working as a statistician for public health services, first at the epidemiology unit of the Valencia (Spain) regional health administration and later as a researcher at the public health division of FISABIO, a regional bio-sanitary research center. He has been also the Bayesian Hierarchical Models professor for several seasons at the University of Valencia Biostatics Master. Paloma Botella Rocamora has spent most of her professional career in academia although she now works as a statistician for the epidemiology unit of the Valencia regional health administration. Most of her research has been devoted to developing and applying disease mapping models to real data, although her work as a statistician in an epidemiology unit makes her develop and apply statistical methods to health data, in general. OCLC-licensed vendor bibliographic record. Medical mapping. Epidemiology Statistical methods. MATHEMATICS / Probability & Statistics / General bisacsh MEDICAL / Epidemiology bisacsh REFERENCE / General bisacsh Botella-Rocamora, Paloma, author. Taylor & Francis https://www.taylorfrancis.com/books/9781315118741 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 93404 93403