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Fixed Effects Regression Methods for Longitudinal Data Using SAS, written by Paul Allison, is a helpful helpful useful resource for all researchers critical about together with fixed outcomes regression methods to their software package deal of statistical strategies. First launched by economists, fixed outcomes methods are gaining widespread use all via the social sciences. Designed to eliminate primary biases from regression fashions with quite a lot of observations (typically longitudinal) for each matter (typically a person), fixed outcomes methods primarily provide control for all safe traits of the themes, even traits that are troublesome or inconceivable to measure. This easy and thorough textual content material reveals you the proper solution to estimate fixed outcomes fashions with quite a lot of SAS procedures that are relevant for completely differing types of finish outcome variables. The theoretical background of each model is outlined, and the fashions are then illustrated with detailed examples using precise data. The book accommodates thorough discussions of the subsequent makes use of of SAS procedures: PROC GLM for estimating fixed outcomes linear fashions for quantitative outcomes, PROC LOGISTIC for estimating fixed outcomes logistic regression fashions, PROC PHREG for estimating fixed outcomes Cox regression fashions for repeated event data, PROC GENMOD for estimating fixed outcomes Poisson regression fashions for rely data, and PROC CALIS for estimating fixed outcomes structural equation fashions. To comprehend in all probability probably the most revenue from this book, readers have to be acquainted with numerous linear regression, have smart experience using a lot of regression on precise data, and be comfortable deciphering the output from a regression analysis. An understanding of logistic regression and Poisson regression is a plus. Some experience with SAS is beneficial, nevertheless not required.
This book is part of the SAS Press program.
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