The SAGE Handbook of Regression Analysis and Causal Inference

Author Henning Best

Publisher Sage UK

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Format

eBook

2nd Edition 1st Edition

Quantity

Author

Henning Best

Publisher

Sage UK

Volume

Copyright

2014

ISBN13

9781473908352

Release

Format

eBook

Grade Level

College Freshman - College Senior

DDC
TBD

Overview

Covering both general and advanced aspects of multivariate methods, this Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis and provides readers with an introduction to and explorati
Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Contributors.
Preface.
Introduction.
Estimation and Inference.
1: Estimation Techniques: Ordinary Least Squares and Maximum Likelihood.
2: Bayesian Estimation of Regression Models.
Regression Analysis for Cross-Sections.
3: Linear Regression.
4: Regression Analysis: Assumptions and Diagnostics.
5: Non-linear and Non-Additive Effects in Linear Regression.
6: The Multilevel Regression Model.
7: Logistic Regression.
8: Regression Models for Nominal and Ordinal Outcomes.
9: Graphical Display of Regression Results.
10: Regression with Complex Samples.
Causal Inference and Analysis of Longitudinal Data.
11: Matching Estimators for Treatment Effects.
12: Instrumental Variables Regression.
13: Regression Discontinuity Designs in Social Sciences.
14: Fixed-Effects Panel Regression.
15: Event History Analysis.
16: Time-Series Cross-Section.
Name Index.
Subject Index.
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