Regression With Social Data: Modeling Continuous and Limited Response Variables
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Abstract
Author information unavailable
Abstract
Preface. 1. Introduction to Regression Modeling. 2. Simple Linear Regression. 3. Introduction to Multiple Regression. 4. Multiple Regression with Categorical Predictors: ANOVA and ANCOVA Models. 5. Modeling Nonlinearity. 6. Advanced Issues in Multiple Regression. 7. Regression with a Binary Response. 8. Advanced Topics in Logistic Regression. 9. Truncated and Censored Regression Models. 10. Regression Models for an Event Count. 11. Introduction to Survival Analysis. 12. Multistate, Multiepisode, and Interval-Censored Models in Survival Analysis. Appendix A: Mathematics Tutorials. Appendix B: Answers to Selected Exercises. References. Index.
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Preface. 1. Introduction to Regression Modeling. 2. Simple Linear Regression. 3. Introduction to Multiple Regression. 4. Multiple Regression with Categorical Predictors: ANOVA and ANCOVA Models. 5. Modeling Nonlinearity. 6. Advanced Issues in Multiple Regression. 7. Regression with a Binary Response. 8. Advanced Topics in Logistic Regression. 9. Truncated and Censored Regression Models. 10. Regression Models for an Event Count. 11. Introduction to Survival Analysis. 12. Multistate, Multiepisode, and Interval-Censored Models in Survival Analysis. Appendix A: Mathematics Tutorials. Appendix B: Answers to Selected Exercises. References. Index.
Key concepts: Regression analysis, Econometrics, Statistics, Cross-sectional regression, Regression, Computer science, Mathematics, Polynomial regression