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The SAGE Handbook of Regression Analysis and Causal Inference - Los Angeles Sage Publications Ltd. 2015 - 414p

1. Introduction
Part I: Estimation and Inference
2. Estimation Techniques: Ordinary least squares and maximum likelihood
3. Bayesian Estimation of Regression Models

Part II: Regression Analysis For Cross-Sections
4. Linear Regression
5. Regression Analysis: Assumptions and Diagnostics
6. Non-Linear and Non-Additive Effects in Linear Regression
7. The Multilevel Regression Model
8. Logistic Regression
9. Regression Models for Nominal and Ordinal Outcomes
10. Graphical Display of Regression Results
11. Regression With Complex Samples

Part III: Causal Inference and Analysis Of Longitudinal Data
12. Matching Estimators for Treatment Effects
13. Instrumental Variables Regression
14. Regression Discontinuity Designs in Social Sciences
15. Fixed-effects Panel Regression
16. Event History Analysis
17. Time-Series Cross-Section


ISBN: 9781446252444

Subjects--Personal Names:
Mathematical Statistics
Regression Analysis
Social Sciences -- Statistical Methods

Dewey Class. No.: 519.536 / SAG