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Fixed effects regression methods for longitudinal data : using SAS by Paul David Allison is a nonfiction available to read on EtoBox.

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Fixed Effects Regression Methods for Longitudinal Data Using SAS, written by Paul Allison, is an invaluable resource for all researchers interested in adding fixed effects regression methods to their tool kit of statistical techniques. First introduced by economists, fixed effects methods are gaining widespread use throughout the social sciences. Designed to eliminate major biases from regression models with multiple observations (usually longitudinal) for each subject (usually a person), fixed effects methods essentially offer control for all stable characteristics of the subjects, even characteristics that are difficult or impossible to measure. This straightforward and thorough text shows you how to estimate fixed effects models with several SAS procedures that are appropriate for different kinds of outcome variables. The theoretical background of each model is explained, and the models are then illustrated with detailed examples using real data. The book contains thorough discussions of the following uses of SAS procedures: PROC GLM for estimating fixed effects linear models for quantitative outcomes, PROC LOGISTIC for estimating fixed effects logistic regression models, PROC P

Who reads Fixed effects regression methods for longitudinal data : using SAS?

Author

Paul David Allison

Publisher

SAS Institute Inc.

Published

2005

Language

EN

ISBN

9781590477786

Category

nonfiction

Subjects

Computer Science, Mathematics, Business