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Fixed Effects Regression Models (Quantitative Applications in the Social Sciences), by Paul D. Allison
PDF Ebook Fixed Effects Regression Models (Quantitative Applications in the Social Sciences), by Paul D. Allison
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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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- Sales Rank: #332429 in Books
- Brand: Brand: Sage Publications, Inc
- Published on: 2009-04-22
- Original language: English
- Number of items: 1
- Dimensions: 8.30" h x .30" w x 5.40" l, .35 pounds
- Binding: Paperback
- 136 pages
- Used Book in Good Condition
About the Author
Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania where he teaches graduate courses in methods and statistics. He is also the founder and president of Statistical Horizons LLC which offers short courses on a wide variety of statistical topics.
After completing his doctorate in sociology at the University of Wisconsin, he did postdoctoral study in statistics at the University of Chicago and the University of Pennsylvania. He has published eight books and more than 60 articles on topics that include linear regression, log-linear analysis, logistic regression, structural equation models, inequality measures, missing data, and survival analysis.
Much of his early research focused on career patterns of academic scientists. At present, his principal research is on methods for analyzing longitudinal data, especially those for determining the causes and consequences of events, and on methods for handling missing data.
A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology. In 2010 he was named a Fellow of the American Statistical Association. He is also a two-time winner of the American Statistical Association’s award for “Excellence in Continuing Education.”
Most helpful customer reviews
0 of 0 people found the following review helpful.
Strongly recommend
By Kulabutr
This book is really useful for the Panel data including count data analyses. The author also provided various examples and syntax commands in each result table. It is not difficult to understand. Moreover, the author showed good interpretation for the regression results. In addion to the Fixed effects and Random effects models, the Hybrid model is also exhibited.
1 of 1 people found the following review helpful.
Nice walkthrough of FE regression models and how to do them
By GHam
Excellent, easy to follow. In many cases you get examples of STATA code and output. This book does a great job at what other math and statistics books do poorly; explaining soundly, step by step (no frustrating missing steps "left up to the reader" crap), with a digestible writing style. If you were looking for a primer on just regression models, this would also do the trick.
1 of 1 people found the following review helpful.
Helpful
By mratchford
I'm a big fan of any stats books by Paul Allison. His explanations and his method of writing makes statistics easier to understand. This book is no exception, I find it very well-written.
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