Fixed Effects Regression Models

by Paul D. Allison

This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling 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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136 pages, Paperback

First published April 1, 2009

Reviews

[Anh Nguyen · Rating 5 out of 5]

Very clear, concise and practical book to understand fixed effects regressions.