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Applied spatial statistics for public health data [[electronic resource] /] / Lance A. Waller, Carol A. Gotway
| Applied spatial statistics for public health data [[electronic resource] /] / Lance A. Waller, Carol A. Gotway |
| Autore | Waller Lance A. <1965-> |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, 2004 |
| Descrizione fisica | 1 online resource (522 p.) |
| Disciplina | 614/.07/27 |
| Altri autori (Persone) | GotwayCarol A. <1961-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Public health - Statistical methods
Spatial analysis (Statistics) |
| ISBN |
1-280-34588-8
9786610345885 0-471-66267-4 0-471-66268-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied 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
2.3.3 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 2.8 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 3.4.1 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 4.4 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 5.2.1 Stationarity and Isotropy |
| Record Nr. | UNINA-9910146067603321 |
Waller Lance A. <1965->
|
||
| Hoboken, N.J., : John Wiley & Sons, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied spatial statistics for public health data / / Lance A. Waller, Carol A. Gotway
| Applied spatial statistics for public health data / / Lance A. Waller, Carol A. Gotway |
| Autore | Waller Lance A. <1965-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, 2004 |
| Descrizione fisica | 1 online resource (522 p.) |
| Disciplina | 614/.07/27 |
| Altri autori (Persone) | GotwayCarol A. <1961-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Public health - Statistical methods
Spatial analysis (Statistics) |
| ISBN |
9786610345885
9781280345883 1280345888 9780471662679 0471662674 9780471662686 0471662682 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied 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
2.3.3 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 2.8 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 3.4.1 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 4.4 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 5.2.1 Stationarity and Isotropy |
| Record Nr. | UNINA-9910828465803321 |
|
Waller Lance A. <1965->
|
||
| Hoboken, N.J., : John Wiley & Sons, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied statistics for the social and health sciences / / Rachel A. Gordon
| Applied statistics for the social and health sciences / / Rachel A. Gordon |
| Autore | Gordon Rachel A. |
| Pubbl/distr/stampa | New York, N.Y. : , : Routledge, , 2012 |
| Descrizione fisica | 1 online resource (1583 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Social sciences - Statistical methods
Public health - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-52115-6
9786613833600 0-203-13529-6 1-136-48418-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; APPLIED STATISTICS FOR THE SOCIAL AND HEALTH SCIENCES; Title Page; Copyright; TABLE OF CONTENTS IN BRIEF; TABLE OF CONTENTS IN DETAIL; Preface; Acknowledgments; PART 1: GETTING STARTED; Chapter 1: Examples of Quantitative Research in the Social and Health Sciences; 1.1 What is Regression Analysis?; 1.2 Literature Excerpt 1.1; 1.3 Literature Excerpt 1.2; 1.4 Literature Excerpt 1.3; 1.5 Literature Excerpt 1.4; 1.6 Summary; Chapter 2: Planning a Quantitative Research Project With Existing Data; 2.1 Sources of Existing Data; 2.2 Thinking Forward; 2.3 Example Research Questions
2.4 Example of Locating Studies in ICPSR2.5 Summary; Chapter 3: Basic Features of Statistical Packages and Data Documentation; 3.1 How are our Data Stored in the Computer?; 3.2 Why Learn Both SAS and STATA?; 3.3 Getting Started with a Quantitative Research Project; 3.4 Summary; Chapter 4: Basics of Writing Batch Programs with Statistical Packages; 4.1 Getting Started with SAS and Stata; 4.2 Writing a Simple Batch Program; 4.3 Expanding the Batch Program to Create New Variables; 4.4 Expanding the Batch Program to Keep a Subset of Cases; 4.5 Complex Sampling Designs; 4.6 Some Finishing Touches 4.7 SummaryPART 2: BASIC DESCRIPTIVE AND INFERENTIAL STATISTICS; Chapter 5: Basic Descriptive Statistics; 5.1 Types of Variables; 5.2 Literature Excerpts 5.1 and 5.2; 5.3 Nominal Variables; 5.4 Ordinal Variables; 5.5 Interval Variables; 5.6 Weighted Statistics; 5.7 Creating a Descriptive Table; 5.8 Summary; Chapter 6: Sample, Population and Sampling Distributions; 6.1 Statistical Inference; 6.2 Population and Sample Distributions; 6.3 The Sampling Distribution; 6.4 General Concepts for Statistical Inference; 6.5 Other Common Theoretical Distributions; 6.6 Summary Chapter 7: Bivariate Inferential Statistics7.1 Literature Excerpts; 7.2 One Categorical and One Interval Variable; 7.3 Two Categorical Variables; 7.4 Two Interval Variables; 7.5 Weighted Statistics; 7.6 Summary; PART 3: ORDINARY LEAST SQUARES REGRESSION; Chapter 8: Basic Concepts of Bivariate Regression; 8.1 Algebraic and Geometric Representations of Bivariate Regression; 8.2 The Population Regression Line; 8.3 The Sample Regression Line; 8.4 Ordinary Least Squares Estimators; 8.5 Complex Sampling Designs; 8.6 Summary; Chapter 9: Basic Concepts of Multiple Regression 9.1 Algebraic and Geometric Representations of Multiple Regression9.2 OLS Estimation of the Multiple Regression Model; 9.3 Conducting Multiple Hypothesis Tests; 9.4 General Linear F-Test; 9.5 R -Squared; 9.6 Information Criteria; 9.7 Literature Excerpt 9.1; 9.8 Summary; Chapter 10: Dummy Variables Dummy Variables; 10.1 Why is a Different Approach Needed for Nominal and Ordinal Predictor Variables?; 10.2 How Do We Define Dummy Variables?; 10.3 Interpreting Dummy Variable Regression Models; 10.4 Putting It All Together; 10.5 Complex Sampling Designs; 10.6 Summary; Chapter 11: Interactions 11.1 Literature Excerpt 11.1 |
| Record Nr. | UNINA-9910461772703321 |
|
Gordon Rachel A.
|
||
| New York, N.Y. : , : Routledge, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied statistics for the social and health sciences / / Rachel A. Gordon
| Applied statistics for the social and health sciences / / Rachel A. Gordon |
| Autore | Gordon Rachel A. |
| Pubbl/distr/stampa | New York, N.Y. : , : Routledge, , 2012 |
| Descrizione fisica | 1 online resource (1583 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Social sciences - Statistical methods
Public health - Statistical methods |
| ISBN |
1-136-48417-5
1-283-52115-6 9786613833600 0-203-13529-6 1-136-48418-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; APPLIED STATISTICS FOR THE SOCIAL AND HEALTH SCIENCES; Title Page; Copyright; TABLE OF CONTENTS IN BRIEF; TABLE OF CONTENTS IN DETAIL; Preface; Acknowledgments; PART 1: GETTING STARTED; Chapter 1: Examples of Quantitative Research in the Social and Health Sciences; 1.1 What is Regression Analysis?; 1.2 Literature Excerpt 1.1; 1.3 Literature Excerpt 1.2; 1.4 Literature Excerpt 1.3; 1.5 Literature Excerpt 1.4; 1.6 Summary; Chapter 2: Planning a Quantitative Research Project With Existing Data; 2.1 Sources of Existing Data; 2.2 Thinking Forward; 2.3 Example Research Questions
2.4 Example of Locating Studies in ICPSR2.5 Summary; Chapter 3: Basic Features of Statistical Packages and Data Documentation; 3.1 How are our Data Stored in the Computer?; 3.2 Why Learn Both SAS and STATA?; 3.3 Getting Started with a Quantitative Research Project; 3.4 Summary; Chapter 4: Basics of Writing Batch Programs with Statistical Packages; 4.1 Getting Started with SAS and Stata; 4.2 Writing a Simple Batch Program; 4.3 Expanding the Batch Program to Create New Variables; 4.4 Expanding the Batch Program to Keep a Subset of Cases; 4.5 Complex Sampling Designs; 4.6 Some Finishing Touches 4.7 SummaryPART 2: BASIC DESCRIPTIVE AND INFERENTIAL STATISTICS; Chapter 5: Basic Descriptive Statistics; 5.1 Types of Variables; 5.2 Literature Excerpts 5.1 and 5.2; 5.3 Nominal Variables; 5.4 Ordinal Variables; 5.5 Interval Variables; 5.6 Weighted Statistics; 5.7 Creating a Descriptive Table; 5.8 Summary; Chapter 6: Sample, Population and Sampling Distributions; 6.1 Statistical Inference; 6.2 Population and Sample Distributions; 6.3 The Sampling Distribution; 6.4 General Concepts for Statistical Inference; 6.5 Other Common Theoretical Distributions; 6.6 Summary Chapter 7: Bivariate Inferential Statistics7.1 Literature Excerpts; 7.2 One Categorical and One Interval Variable; 7.3 Two Categorical Variables; 7.4 Two Interval Variables; 7.5 Weighted Statistics; 7.6 Summary; PART 3: ORDINARY LEAST SQUARES REGRESSION; Chapter 8: Basic Concepts of Bivariate Regression; 8.1 Algebraic and Geometric Representations of Bivariate Regression; 8.2 The Population Regression Line; 8.3 The Sample Regression Line; 8.4 Ordinary Least Squares Estimators; 8.5 Complex Sampling Designs; 8.6 Summary; Chapter 9: Basic Concepts of Multiple Regression 9.1 Algebraic and Geometric Representations of Multiple Regression9.2 OLS Estimation of the Multiple Regression Model; 9.3 Conducting Multiple Hypothesis Tests; 9.4 General Linear F-Test; 9.5 R -Squared; 9.6 Information Criteria; 9.7 Literature Excerpt 9.1; 9.8 Summary; Chapter 10: Dummy Variables Dummy Variables; 10.1 Why is a Different Approach Needed for Nominal and Ordinal Predictor Variables?; 10.2 How Do We Define Dummy Variables?; 10.3 Interpreting Dummy Variable Regression Models; 10.4 Putting It All Together; 10.5 Complex Sampling Designs; 10.6 Summary; Chapter 11: Interactions 11.1 Literature Excerpt 11.1 |
| Record Nr. | UNINA-9910790326003321 |
|
Gordon Rachel A.
|
||
| New York, N.Y. : , : Routledge, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Method for constructing complete annual U.S. life tables / / by Robert N. Anderson
| Method for constructing complete annual U.S. life tables / / by Robert N. Anderson |
| Autore | Anderson Robert N (Statistician) |
| Pubbl/distr/stampa | Hyattsville, Maryland : , : U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, , 1999 |
| Descrizione fisica | 1 online resource (iv, 28 pages) : illustrations |
| Collana |
Vital and health statistics. Series 2, Data evaluation and methods research
DHHS publication |
| Soggetto topico |
Life insurance - United States - Statistical methods
Health insurance - United States - Statistical methods Mortality - United States - Statistical methods Public health - United States - Statistical methods Life insurance - Statistical methods Mortality - Statistical methods Public health - Statistical methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Method for constructing complete annual United States life tables |
| Record Nr. | UNINA-9910712971403321 |
|
Anderson Robert N (Statistician)
|
||
| Hyattsville, Maryland : , : U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
