Table of Contents

CHAPTER 1: Two measures of risk: odds ratios and average rates

CHAPTER 2: Tabular data: the 2× k table and summarizing 2 × 2 tables

CHAPTER 3: Two especially useful estimation tools

CHAPTER 4: Linear logistic regression: discrete data

CHAPTER 5: Logistic regression: continuous data

CHAPTER 6: Analysis of count data: Poisson regression model

CHAPTER 7: Analysis of matched case/control data

CHAPTER 8: Spatial data: estimation and analysis

CHAPTER 9: Classification: three examples

CHAPTER 10: Three smoothing techniques

CHAPTER 11: Case study: description and analysis

CHAPTER 12: Longitudinal data analysis

CHAPTER 13: Analysis of multivariate tables

CHAPTER 14: Misclassification: a detailed description of a simple case

CHAPTER 15: Advanced topics

About the Author

Steve Selvin, PhD, is Professor and Head of Biostatistics at the School of Public Health, University of California, Berkeley.