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  • 1
    UID:
    gbv_1664783628
    Format: xiii, 432 Seiten , Illustrationen
    ISBN: 9781482246414
    Note: "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." , Includes bibliographical references and index
    Additional Edition: Erscheint auch als Online-Ausgabe Martinez-Beneito, Miguel A. Disease mapping Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019 ISBN 1351645021
    Additional Edition: ISBN 1315118742
    Additional Edition: ISBN 1351635530
    Additional Edition: ISBN 1482246422
    Additional Edition: ISBN 9781315118741
    Additional Edition: ISBN 9781351635530
    Additional Edition: ISBN 9781351645027
    Additional Edition: ISBN 9781482246421
    Language: English
    Keywords: Geomedizin ; Statistik ; Thematische Kartografie
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_BV046291444
    Format: xiii, 432 Seiten : , Illustrationen, Diagramme, Karten ; , 25 cm.
    Note: "A Chapman & Hall Book"
    Language: English
    Subjects: Economics
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Boca Raton, FL :CRC Press, Taylor & Francis Group,
    UID:
    almafu_BV046623658
    Format: 1 online resource.
    ISBN: 978-1-351-64502-7 , 1-351-64502-1 , 978-1-315-11874-1 , 1-315-11874-2 , 978-1-351-63553-0 , 1-351-63553-0 , 978-1-4822-4642-1 , 1-4822-4642-2 , 978-1-351-64502-7
    Note: Vendor-supplied metadata
    Language: English
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  • 4
    UID:
    almahu_9949383399002882
    Format: 1 online resource
    ISBN: 9781351645027 , 1351645021 , 9781315118741 , 1315118742 , 9781351635530 , 1351635530 , 9781482246421 , 1482246422
    Content: 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.
    Note: "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
    Additional Edition: Print version: Disease mapping Boca Raton : Taylor & Francis, 2019. ISBN 9781482246414 (hardback : alk. paper)
    Language: English
    Keywords: Electronic books. ; Electronic books.
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