LEADER 00905nam0-22002891i-450- 001 990004950380403321 005 19990530 035 $a000495038 035 $aFED01000495038 035 $a(Aleph)000495038FED01 035 $a000495038 100 $a19990530d1872----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $a[<> prof. Federigo Diez e la filologia romanza nel nostro secolo$fper Ugo Angelo Canello] 210 $a[Firenze$cTip. dell'associazione$d1872] 215 $a85 p.$d20 cm 300 $aMancante di coperta e frontespizio 300 $aEstr. da: Rivista europea 700 1$aCanello,$bUgo Angelo$0196006 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004950380403321 952 $aFA 57$bFil. Mod. 25386$fFLFBC 959 $aFLFBC 996 $aProf. Federigo Diez e la filologia romanza nel nostro secolo$9527740 997 $aUNINA LEADER 05708nam 22007454a 450 001 9910828465803321 005 20200520144314.0 010 $a9786610345885 010 $a9781280345883 010 $a1280345888 010 $a9780471662679 010 $a0471662674 010 $a9780471662686 010 $a0471662682 035 $a(CKB)1000000000019014 035 $a(EBL)214360 035 $a(OCoLC)130863995 035 $a(SSID)ssj0000104813 035 $a(PQKBManifestationID)11133480 035 $a(PQKBTitleCode)TC0000104813 035 $a(PQKBWorkID)10085390 035 $a(PQKB)11525898 035 $a(MiAaPQ)EBC214360 035 $a(Au-PeEL)EBL214360 035 $a(CaPaEBR)ebr10114139 035 $a(CaONFJC)MIL34588 035 $a(Perlego)2752152 035 $a(EXLCZ)991000000000019014 100 $a20031126d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied spatial statistics for public health data /$fLance A. Waller, Carol A. Gotway 205 $a1st ed. 210 $aHoboken, N.J. $cJohn Wiley & Sons$d2004 215 $a1 online resource (522 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 08$a9780471387718 311 08$a0471387711 320 $aIncludes bibliographical references and index. 327 $aApplied Spatial Statistics for Public Health Data; Contents; Preface; Acknowledgments; 1 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; 2 Analyzing Public Health Data; 2.1 Observational vs. Experimental Data; 2.2 Risk and Rates; 2.2.1 Incidence and Prevalence; 2.2.2 Risk; 2.2.3 Estimating Risk: Rates and Proportions; 2.2.4 Relative and Attributable Risks; 2.3 Making Rates Comparable: Standardized Rates; 2.3.1 Direct Standardization; 2.3.2 Indirect Standardization 327 $a2.3.3 Direct or Indirect?2.3.4 Standardizing to What Standard?; 2.3.5 Cautions with Standardized Rates; 2.4 Basic Epidemiological Study Designs; 2.4.1 Prospective Cohort Studies; 2.4.2 Retrospective Case-Control Studies; 2.4.3 Other Types of Epidemiological Studies; 2.5 Basic Analytic Tool: The Odds Ratio; 2.6 Modeling Counts and Rates; 2.6.1 Generalized Linear Models; 2.6.2 Logistic Regression; 2.6.3 Poisson Regression; 2.7 Challenges in the Analysis of Observational Data; 2.7.1 Bias; 2.7.2 Confounding; 2.7.3 Effect Modification; 2.7.4 Ecological Inference and the Ecological Fallacy 327 $a2.8 Additional Topics and Further Reading2.9 Exercises; 3 Spatial Data; 3.1 Components of Spatial Data; 3.2 An Odyssey into Geodesy; 3.2.1 Measuring Location: Geographical Coordinates; 3.2.2 Flattening the Globe: Map Projections and Coordinate Systems; 3.2.3 Mathematics of Location: Vector and Polygon Geometry; 3.3 Sources of Spatial Data; 3.3.1 Health Data; 3.3.2 Census-Related Data; 3.3.3 Geocoding; 3.3.4 Digital Cartographic Data; 3.3.5 Environmental and Natural Resource Data; 3.3.6 Remotely Sensed Data; 3.3.7 Digitizing; 3.3.8 Collect Your Own!; 3.4 Geographic Information Systems 327 $a3.4.1 Vector and Raster GISs3.4.2 Basic GIS Operations; 3.4.3 Spatial Analysis within GIS; 3.5 Problems with Spatial Data and GIS; 3.5.1 Inaccurate and Incomplete Databases; 3.5.2 Confidentiality; 3.5.3 Use of ZIP Codes; 3.5.4 Geocoding Issues; 3.5.5 Location Uncertainty; 4 Visualizing Spatial Data; 4.1 Cartography: The Art and Science of Mapmaking; 4.2 Types of Statistical Maps; MAP STUDY: Very Low Birth Weights in Georgia Health Care District 9; 4.2.1 Maps for Point Features; 4.2.2 Maps for Areal Features; 4.3 Symbolization; 4.3.1 Map Generalization; 4.3.2 Visual Variables; 4.3.3 Color 327 $a4.4 Mapping Smoothed Rates and Probabilities4.4.1 Locally Weighted Averages; 4.4.2 Nonparametric Regression; 4.4.3 Empirical Bayes Smoothing; 4.4.4 Probability Mapping; 4.4.5 Practical Notes and Recommendations; CASE STUDY: Smoothing New York Leukemia Data; 4.5 Modifiable Areal Unit Problem; 4.6 Additional Topics and Further Reading; 4.6.1 Visualization; 4.6.2 Additional Types of Maps; 4.6.3 Exploratory Spatial Data Analysis; 4.6.4 Other Smoothing Approaches; 4.6.5 Edge Effects; 4.7 Exercises; 5 Analysis of Spatial Point Patterns; 5.1 Types of Patterns; 5.2 Spatial Point Processes 327 $a5.2.1 Stationarity and Isotropy 330 $aAn application-based introduction to the statistical analysis of spatially referenced health data Sparked by the growing interest in statistical methods for the analysis of spatially referenced data in the field of public health, Applied Spatial Statistics for Public Health Data fills the need for an introductory, application-oriented text on this timely subject. Written for practicing public health researchers as well as graduate students in related fields, the text provides a thorough introduction to basic concepts and methods in applied spatial statistics as well as a detail 410 0$aWiley series in probability and statistics. 606 $aPublic health$xStatistical methods 606 $aSpatial analysis (Statistics) 615 0$aPublic health$xStatistical methods. 615 0$aSpatial analysis (Statistics) 676 $a614/.07/27 700 $aWaller$b Lance A.$f1965-$01623281 701 $aGotway$b Carol A.$f1961-$0291862 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828465803321 996 $aApplied spatial statistics for public health data$93957593 997 $aUNINA