Primer of Applied Regression and Analysis of Variance, 3e

Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands

Autosuggest Results

• Chapter One: Why Do Multivariate Analysis?
• Chapter Two: The First Step: Understanding Simple Linear Regression
• Chapter Three: Regression with Two or More Independent Variables
• Chapter Four: Do the Data Fit the Assumptions?
• Chapter Five: Multicollinearity and What to Do About It
• Chapter Six: Selecting the “Best” Regression Model
• Chapter Seven: Missing Data
• Chapter Eight: One-Way Analysis of Variance
• Chapter Nine: Two-Way Analysis of Variance
• Chapter Ten: Repeated Measures
• Chapter Eleven: Mixing Continuous and Categorical Variables: Analysis of Covariance
• Chapter Twelve: Regression with a Qualitative Dependent Variable: Logistic Regression
• Chapter Thirteen: Regression Modeling of Time-to-Event Data: Survival Analysis
• Chapter Fourteen: Nonlinear Regression
• Appendix A: A Brief Introduction to Matrices and Vectors
• Appendix B: Statistical Package Cookbook
• Appendix C: Data for Examples
• Appendix D: Data for Problems
• Appendix E: Statistical Tables
• Appendix F: Solutions to Problems