Fixed Effects Regression Models


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Description

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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Author: Paul D. Allison
Publisher: Sage Publications, Inc
Published: 04/22/2009
Pages: 136
Binding Type: Paperback
Weight: 0.35lbs
Size: 8.30h x 5.40w x 0.30d
ISBN13: 9780761924975
ISBN10: 0761924973
BISAC Categories:
- Mathematics | Probability & Statistics | Regression Analysis
- Social Science | Research
- Social Science | Methodology

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