000			03780nam a22005175i 4500
001			u371381
003			SIRSI
005			20160812080125.0
007			cr nn 008mamaa
008			100301s2010 xxu| s |||| 0|eng d
020			_a9781441915726 _9978-1-4419-1572-6
040			_cMX-MeUAM
050		4	_aQA276-280
082	0	4	_a519.5 _223
100	1		_aTango, Toshiro. _eauthor.
245	1	0	_aStatistical Methods for Disease Clustering _h[recurso electrónico] / _cby Toshiro Tango.
264		1	_aNew York, NY : _bSpringer New York, _c2010.
300			_aVIII, 240 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStatistics for Biology and Health, _x1431-8776
505	0		_aClustering 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.
520			_aThe 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.
650		0	_aStatistics.
650		0	_aOncology.
650		0	_aEpidemiology.
650		0	_aBiometrics.
650		0	_aStatistical methods.
650	1	4	_aStatistics.
650	2	4	_aStatistics for Life Sciences, Medicine, Health Sciences.
650	2	4	_aBiostatistics.
650	2	4	_aEpidemiology.
650	2	4	_aPublic Health/Gesundheitswesen.
650	2	4	_aCancer Research.
650	2	4	_aBiometrics.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441915719
830		0	_aStatistics for Biology and Health, _x1431-8776
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-1572-6
596			_a19
942			_cLIBRO_ELEC
999			_c199261 _d199261