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The Sage handbook of regression analysis and causal inference/
| Other Authors: | , |
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| Format: | Printed Book |
| Published: |
London:
Sage,
2015.
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| Subjects: | |
| Online Access: | https://books.google.co.in/books?id=Q9rSAwAAQBAJ&printsec=frontcover&dq=The+SAGE+handbook+of+regression+analysis+and+causal+inference&hl=en&sa=X&ved=0ahUKEwiUg4LEwpDXAhULpY8KHb4wBVIQ6AEIJTAA#v=onepage&q=The%20SAGE%20handbook%20of%20regression%20analysis%20and%20causal%20inference&f=false |
Table of Contents:
- Estimation techniques : ordinary least squares and maximum likelihood / Martin Elff
- Bayesian estimation of regression models / Susumu Shikano
- Linear regression / Christof Wolf, Henning Best
- Regression analysis : assumptions and diagnostics / Bart Meuleman, Geert Loosveldt, Viktor Emonds
- Non-linear and non-additive effects in linear regression / Henning Lohmann
- The multilevel regression model / Joop Hox, Leoniek Wijngaards-de Meij
- Logistic regression / Henning Best, Christof Wolf
- Regression models for nominal and ordinal outcomes / J. Scott Long
- Graphical display of regression results / Gerrit Bauer
- Regression with complex samples / Steven G. Heeringa, Brady T. West, Patricia A. Berglund
- Matching estimators for treatment effects / Markus Gangl
- Instrumental variables regression / Christopher Muller, Christopher Winship, Stephen L. Morgan
- Regression discontinuity designs in social sciences / David S. Lee, Thomas Lemieux
- Fixed-effects panel regression / Josef Bruderl, Volker Ludwig
- Event history analysis / Hans-Peter Blossfeld, Gwendolin J. Blossfeld
- Time-series cross-section / Jessica Fortin-Rittberger.