Statistical Methods for Disease Clustering

The development of powerful computing environment and the geographical information system (GIS) in recent decades has thrust the analysis of geo-referenced disease incidence data into the mainstream of spatial epidemiology. This book offers a modern perspective on statistical methods for detecting d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Tango, Toshiro, 1950-
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: New York, NY : Springer New York [20..].
Cham : Springer Nature
Ausgabe:1st ed. 2010.
Schriftenreihe:Statistics for Biology and Health
Online Zugang:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Anmerkung: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Statistical methods for disease clustering, by Toshiro Tango, 2010, New York, Springer, 1 vol. (X-247 p.), Statistics for biology and health, 978-1-441-91571-9
• Statistical Methods for Disease Clustering, Texte imprimé, 9781441915740
• Statistical methods for disease clustering, by Toshiro Tango, 2010, New York, Springer, 1 vol. (X-247 p.), Statistics for biology and health, 978-1-441-91571-9
• Statistical Methods for Disease Clustering, Texte imprimé, 9781461425564
• Statistical Methods for Disease Clustering, Texte imprimé, 9781441915740
• Statistical methods for disease clustering, by Toshiro Tango, 2010, New York, Springer, 1 vol. (X-247 p.), Statistics for biology and health, 978-1-441-91571-9
• Statistical Methods for Disease Clustering, Texte imprimé, 9781461425564
LEADER 04747nam a22004097a 4500
001 942801
008 110106q2000 xx ||| |||| 00| 0 eng d
009 PPN149050038
020 |a 9781441915726 
020 |a 9781441915726 
041 0 |a eng 
082 |a 519.5 
100 1 |a Tango, Toshiro,  |d 1950- 
245 1 0 |a Statistical Methods for Disease Clustering   |c by Toshiro Tango. 
250 |a 1st ed. 2010. 
260 |a New York, NY :  |b Springer New York. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Statistics for Biology and Health  |x 2197-5671 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 1 |a Clustering and Clusters Disease Mapping: Visualization of Spatial Clustering Tests for Temporal Clustering General Tests for Spatial Clustering: Regional Count Data General Tests for Spatial Clustering : Case-Control Point Data Tests for Space-Time Clustering Focused Tests for Spatial Clustering Space-Time Scan Statistics 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a The development of powerful computing environment and the geographical information system (GIS) in recent decades has thrust the analysis of geo-referenced disease incidence data into the mainstream of spatial epidemiology. This book offers a modern perspective on statistical methods for detecting disease clustering, an indispensable procedure to find a statistical evidence on aetiology of the disease under study. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Furthermore, the research area of statistical methods for disease clustering now attracts a wide audience due to the perceived need to implement wide-ranging monitoring systems to detect possible health-related events such as the occurrence of the severe acute respiratory syndrome (SARS), pandemic influenza and bioterrorism As an invaluable resource for a wide range of audience including public health researchers, epidemiologists and biostatistians, this book features: A concise introduction to basic concepts of disease clustering/clusters A historical overview of methods for disease clustering A detailed treatment of selected methods useful for practical investigation of disease clustering Analysis and illustration of methods for a variety of real data sets Toshiro Tango, Ph.D., is the Director of Department of Technology Assessment and Biostatistics of National Institute of Public Health, Japan. He has published a number of methodological and applied articles on various aspects of biostatistics. He is Past President of the Japanese Region of the International Biometric Society. He has served as Associate Editor for several journals including Statistics in Medicine and Biometrics 
776 0 |0 14274056X  |t Statistical methods for disease clustering  |f by Toshiro Tango  |d 2010  |c New York  |n Springer  |p 1 vol. (X-247 p.)  |s Statistics for biology and health  |z 978-1-441-91571-9 
776 0 |t Statistical Methods for Disease Clustering  |b Texte imprimé  |z 9781441915740 
776 0 |0 14274056X  |t Statistical methods for disease clustering  |f by Toshiro Tango  |d 2010  |c New York  |n Springer  |p 1 vol. (X-247 p.)  |s Statistics for biology and health  |z 978-1-441-91571-9 
776 0 |t Statistical Methods for Disease Clustering  |b Texte imprimé  |z 9781461425564 
776 0 |t Statistical Methods for Disease Clustering  |b Texte imprimé  |z 9781441915740 
776 0 |0 14274056X  |t Statistical methods for disease clustering  |f by Toshiro Tango  |d 2010  |c New York  |n Springer  |p 1 vol. (X-247 p.)  |s Statistics for biology and health  |z 978-1-441-91571-9 
776 0 |t Statistical Methods for Disease Clustering  |b Texte imprimé  |z 9781461425564 
856 4 |q PDF  |u https://doi.org/10.1007/978-1-4419-1572-6  |z Accès sur la plateforme de l'éditeur 
856 4 |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-5WSMZV4B-N  |z Accès sur la plateforme Istex 
856 4 |5 452349901:74783248X  |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-1-4419-1572-6  |z Accès Université d'Orléans 
856 4 |5 180339901:750849878  |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-1-4419-1572-6  |z Accès INSA CVL 
997 |0 942801  |1 Livre numérique  |a Ressource numérique  |b INSA  |b ENSA  |c 0/Bibliothèque numérique/  |c 1/Bibliothèque numérique/Autre ressource numérique/