Statistical Methods for Disease Clustering
Seiten
2012
Springer-Verlag New York Inc.
978-1-4614-2556-4 (ISBN)
Springer-Verlag New York Inc.
978-1-4614-2556-4 (ISBN)
This book offers a modern perspective on statistical methods for detecting disease clustering. It offers analysis and illustration of methods for a variety of real data sets, and will provide an invaluable resource for a wide ranging of audience.
This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and graduate level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scien tists, and ecologists. Prerequisites are introductory biostatistics and epidemiology courses. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Further more, the research area of statistical tests for disease clustering now attracts a wide audience due to the perceived need to implement wide ranging monitoring systems to detect possible health related bioterrorism activity. With this background and the development of the geographical information system (GIS), the analysis of disease clustering of health events has seen considerable development over the last decade. Therefore, several excellent books on spatial epidemiology and statistics have re cently been published. However, it seems to me that there is no other book solely focusing on statistical methods for disease clustering. I hope that readers will ?nd this book useful and interesting as an introduction to the subject.
This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and graduate level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scien tists, and ecologists. Prerequisites are introductory biostatistics and epidemiology courses. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Further more, the research area of statistical tests for disease clustering now attracts a wide audience due to the perceived need to implement wide ranging monitoring systems to detect possible health related bioterrorism activity. With this background and the development of the geographical information system (GIS), the analysis of disease clustering of health events has seen considerable development over the last decade. Therefore, several excellent books on spatial epidemiology and statistics have re cently been published. However, it seems to me that there is no other book solely focusing on statistical methods for disease clustering. I hope that readers will ?nd this book useful and interesting as an introduction to the subject.
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.
| Erscheint lt. Verlag | 3.5.2012 |
|---|---|
| Reihe/Serie | Statistics for Biology and Health |
| Zusatzinfo | VIII, 240 p. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie | |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung | |
| Naturwissenschaften ► Biologie | |
| Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
| Schlagworte | Medizinische Statistik • relative risk • Spatial Epidemiology • spatial scan statistic • spatial statistics • syndromic surveillance |
| ISBN-10 | 1-4614-2556-5 / 1461425565 |
| ISBN-13 | 978-1-4614-2556-4 / 9781461425564 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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