Fixed Effects Regression Models
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Fixed Effects Regression Models



© 2009 | 136 pages | SAGE Publications, Inc
This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data.

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About the Author
 
Series Editor's Introduction
 
1. Introduction
 
2. Linear Fixed Effects Models: Basics
 
3. Fixed Effects Logistic Models
 
4. Fixed Effects Models for Count Data
 
5. Fixed Effects Models for Events History Data
 
6. Structural Equation Models With Fixed Effects
 
Appendix 1
 
Appendix 2
 
References
 
Author Index
 
Subject Index
Key features

This book will show how to estimate and interpret fixed-effects models in a variety of different modeling contexts:

  • Linear models
  • Logistic models
  • Poisson models
  • Cox regression models
  • Structural Equation Models.

Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models.


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ISBN: 9780761924975

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.