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005			20221118154048.0
008			031126s2004 njua b 001 0 eng
020			_a9780471387718
040			_aBR-BrENAP _bPt_BR
041			_aeng
090			_a142.2 _bW1981a
100	1		_aWaller, Lance A. _d1965-
245	1	0	_aApplied spatial statistics for public health data / _cLance A. Waller, Carol A. Gotway. --
260			_aHoboken: _bJohn Wiley & Sons, _c2004.
300			_axviii, 494 p.
504			_aInclui bibliografia
505	0		_t1. Introduction -- 1.1. Why Spatial Data in Public Health? -- 1.2. Why Statistical Methods for Spatial Data? -- 1.3. Intersection of Three Fields of Study -- 1.4. Organization of the Book _t2. Analyzing Public Health Data -- 2.1. Observational vs. Esperimental Data -- 2.2. Risk and Rates -- 2.3. Making Rates Compareble: Standardized Rates -- 2.4. Basic Epidemiological Study Designs -- 2.5.Basic Analytic Tool: The Odds Ratio -- 2.6. Modeling Counts and Rates -- 2.7. Challenges in the Analysis of Observational Data -- 2.8. Additional Topics and Further Reading _t3. Spatial Data -- 3.1. Components of Spatial Data -- 3.2. An Odyssey into Geodesy -- 3.3. Sources of Spatial Data -- 3.4. Geographic Information Systems -- 3.5. Problems with Spatial Data and GIS _t4. Visualizing Spatial Data -- 4.1. Cartography: The Art and Science of Mapmaking -- 4.2. Types of Statistical Maps -- 4.3. Symbolization -- 4.4. Mapping Smoothed Rates and Probabilities -- 4.5. Madifiable Areal Unit Problem -- 4.6. Additional Topics and Further Reading _t5. Analysis of Apatial Point Patterns -- 5.1. Types of Patterns -- 5.2. Spatial Point Processes -- 5.3. K Function -- 5.4. Other Spatial Point Processes -- 5.5. Additional Topics and Further Reading _t6. Spatial Clusters of Health Events: Point Data for Cases and Controls -- 6.1. What Do We Have? Data Types and Related Issues -- 6.2. What Do We Want? Null and Alternative Hypotheses -- 6.3. Categorization Point Process Summaries -- 6.5. Scanning Local Rates -- 6.6. Nearest-Neighbor Statisties -- 6.7. Further Reading _t7. Spatial Clustering of Health Events: Regional Count Data -- 7.1. What Do We Have and What Do We Want? -- 7.2. Categorization of Methods -- 7.3. Scanning Local Rates -- 7.4. Global Indexes of Spatial Autocorrelation -- 7.5. Local Indicators of Spatial Association -- 7.6. Goodness-of Fit Statistics -- 7.7. Statistical Power and Related Considerations -- 7.8. Additional Topics and Further Reading _t 8. Spatial Exposure Data -- 8.1. Random Fields and Stationarity -- 8.2. Semivariograms -- 8.3. Interpolation and Spatial Predection -- 8.4. Additional Topics and Further Reading _t9. Linking Spatial Exposure Data to Health Events -- 9.1. Linear Regression Models for Independent Data -- 9.2. Linear Regression Models for Spatially Autocorrelated Data -- 9.3. Spatial Autoregressive Models -- 9.4. Generalized Linear Models -- 9.5. Bayesian Models for Disease Mapping -- 9.6. Parting Thoghts -- 9.7. Additional Topics and Further Reading
650			_a Saúde Pública _912034
650		0	_ainformações estatísticas _926325
650		0	_asistema de informações geográficas; Região Metropolitana; análise espacial _926323
700	1		_aGotway, Carol A. _d1961-
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/description/wiley041/2003066065.html
856	4	1	_3Table of contents _uhttp://www.loc.gov/catdir/toc/wiley041/2003066065.html
856	4	1	_3Table of contents _uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=012867778&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
909			_a201908 _bVinícius
942			_cG
945			_aL _bLIVRO _c01