• 1. Measures of Risk: Rates and Probabilities ; 2. Variation and Bias ; 3. Statistical Power and Sample Size Calculations ; 4. Cohort Data: Description and Illustration ; 5. Spatial Data: Analysis and Estimation ; 6. The 2 x k Table and the 2 x 2 x 2 Table ; 7. The Analysis of Contingency Table Data: Logistic Model I ; 8. The Analysis of Binary Data: Logistic Model II ; 9. The Analysis of Count Data: Poisson Model ; 10. The Analysis of Matched Data: Three Approaches ; 11. Life Table Analysis: An Introduction ; 12. Survival Data: Estimation of Risk ; 13. Survival Data: Proportional Hazard Model ; Appendices ; A. Description of the WCGS data set ; B. Binomial and Poisson distributions ; C. The odds ratio and its properties ; D. Partitioning the chi-square statistic ; E. Maximum likelihood estimation and likelihood functions ; F. Problems

"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticiansand epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina UniversityFrom reviews of previous editions:"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association"...an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an immediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis."--Epidemiology Monitor"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticiansand epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina UniversityFrom reviews of previous editions:"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association"...an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an intermediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis."--Epidemiology Monitor"The book contains many motivating and illustrative examples based on real epidemiologic data. A handful of technical exercises are also given in an Appendix."--Mario Peruggia, The Ohio State University

• 1. Measures of Risk: Rates and Probabilities ; 2. Variation and Bias ; 3. Statistical Power and Sample Size Calculations ; 4. Cohort Data: Description and Illustration ; 5. Spatial Data: Analysis and Estimation ; 6. The 2 x k Table and the 2 x 2 x 2 Table ; 7. The Analysis of Contingency Table Data: Logistic Model I ; 8. The Analysis of Binary Data: Logistic Model II ; 9. The Analysis of Count Data: Poisson Model ; 10. The Analysis of Matched Data: Three Approaches ; 11. Life Table Analysis: An Introduction ; 12. Survival Data: Estimation of Risk ; 13. Survival Data: Proportional Hazard Model ; Appendices ; A. Description of the WCGS data set ; B. Binomial and Poisson distributions ; C. The odds ratio and its properties ; D. Partitioning the chi-square statistic ; E. Maximum likelihood estimation and likelihood functions ; F. Problems

"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticiansand epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina UniversityFrom reviews of previous editions:"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association"...an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an immediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis."--Epidemiology Monitor"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticiansand epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina UniversityFrom reviews of previous editions:"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association"...an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an intermediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis."--Epidemiology Monitor"The book contains many motivating and illustrative examples based on real epidemiologic data. A handful of technical exercises are also given in an Appendix."--Mario Peruggia, The Ohio State University

• 1. Measures of Risk: Rates and Probabilities ; 2. Variation and Bias ; 3. Statistical Power and Sample Size Calculations ; 4. Cohort Data: Description and Illustration ; 5. Spatial Data: Analysis and Estimation ; 6. The 2 x k Table and the 2 x 2 x 2 Table ; 7. The Analysis of Contingency Table Data: Logistic Model I ; 8. The Analysis of Binary Data: Logistic Model II ; 9. The Analysis of Count Data: Poisson Model ; 10. The Analysis of Matched Data: Three Approaches ; 11. Life Table Analysis: An Introduction ; 12. Survival Data: Estimation of Risk ; 13. Survival Data: Proportional Hazard Model ; Appendices ; A. Description of the WCGS data set ; B. Binomial and Poisson distributions ; C. The odds ratio and its properties ; D. Partitioning the chi-square statistic ; E. Maximum likelihood estimation and likelihood functions ; F. Problems

"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticiansand epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina UniversityFrom reviews of previous editions:"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association"...an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an immediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis."--Epidemiology Monitor"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most of the examples are analyzed by more than one method and, when models are used, by more than one model. This is extremely helpful in understanding the relationship between different analytic techniques. This should be a valuable reference book for statisticiansand epidemiologists, and a good text for an intermediate level course." --Suzanne Hudson, Department of Biostatistics, East Carolina UniversityFrom reviews of previous editions:"This book is well-written and is generally easy to read. Selvin has done a nice job of presenting methods and illustrating the methods with numerical data."--Journal of the American Statistical Association"...an outstanding, readable, and useful presentation of the methods of analysis of disease data. The author has filled a gap admirably. I am sure that this book will deservedly become extensively used in the field of epidemiology world-wide..."--International Journal of Health Sciences"This is a well-written book that provides an important link between the analysis and interpretation of continuous data in epidemiologic terms. The text would be useful in an intermediate epidemiology course that describes the basics of life-table analysis, logistic regression, and survival analysis."--Epidemiology Monitor"The book contains many motivating and illustrative examples based on real epidemiologic data. A handful of technical exercises are also given in an Appendix."--Mario Peruggia, The Ohio State University