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, by Paul D. Allison
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Product details
File Size: 3318 KB
Print Length: 160 pages
Publisher: SAS Institute; 1 edition (March 8, 2005)
Publication Date: March 8, 2005
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00QMSGRSI
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Recently, I was asked to do some analysis on longitudinal patient data using fixed effects regression. This book provided an excellent, step-by-step approach on how to tackle the problem.The first two chapters cover an overview of fixed effects and random effects modeling in the context of ordinary least squares. Then, Prof. Allison devotes a chapter to each of several topics: modeling binary outcomes, modeling counting outcomes, and modeling time to event (I admit that I stopped at Chapter 5).I am particularly impressed by the way he shows different approaches to solving problems. And, that he compares the performance of different routines. It turns out that for many of my problems, proc genmod with GEE approximation is a good solution -- and one that finished in a few minutes rather than a few hours.
Author provides nice explanation of PROC CALIS for linear fixed effects, random effects and reciprocal effects with lagged predictors. That said, why not in the same volume provide additional discussion clarifying distinction between PROC GLM use of least squares for linear trends and use of PROC CALIS for linear and nonlinear trends and tests for significance in PROC CALIS.
useful book to understand how to conduct sas code with fixed effectalso, it helps understand the concept of the effect for beginners
It came in quickly and we appreciate it.
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