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Practical Multivariate Analysis, Sixth Edition


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Authors:
Abdelmonem Afifi, Susanne May, Robin A. Donatello, and Virginia A. Clark
Publisher: CRC Press
Copyright: 2019
ISBN-13: 978-1-1387-0222-6
Pages: 434; hardcover
Authors:
Abdelmonem Afifi, Susanne May, Robin A. Donatello, and Virginia A. Clark
Publisher: CRC Press
Copyright: 2019
ISBN-13:
Pages: 434; eBook
Authors:
Abdelmonem Afifi, Susanne May, Robin A. Donatello, and Virginia A. Clark
Publisher: CRC Press
Copyright: 2019
ISBN-13:
Pages: 434; Kindle

Comment from the Stata technical group

Comments about the Practical Multivariate Analysis, Fifth Edition:

The fifth edition of Practical Multivariate Analysis, by Afifi, May, and Clark, provides an applied introduction to the analysis of multivariate data. The preface says:

“We wrote this book for investigators, specifically behavioral scientists, biomedical scientists, and industrial or academic researchers, who wish to perform multivariate statistical analyses and understand the results. We expect readers to be able to perform and understand the results, but also expect them to know when to ask for help from an expert on the subject. It can either be used as a self-guided textbook or as a text in an applied course in multivariate analysis.

Sections 1 and 2, the first half of the book, review the basics: understanding the different types of data, preparing your data, selecting appropriate statistical techniques, and using and understanding regression and correlation techniques.

Section 3, the second half of the book, covers canonical correlation, discriminant analysis, logistic regression, survival analysis, principal components, factor analysis, cluster analysis, log-linear analysis, and correlated outcomes regression (think xtmixed in Stata).

The applied introductory nature of the book can be seen in the table of contents. Most chapters include subsections titled “Chapter outline”, “When is [this technique] used”, “Data example”, “Basic concepts”, “Discussion of computer programs”, “What to watch out for”, “Summary”, and “Problems”.

The UCLA website,

http://www.ats.ucla.edu/stat/examples/cama4

is another resource for readers of this book. Here many of the examples that were in the fourth edition of the book are demonstrated in Stata and in four other statistical packages.

The data for the fifth edition are available for download from within Stata so that you can practice applying the techniques as you read.

If you are looking for derivations and proofs, this book is not for you. If you are looking for guidance on techniques to use, when to use them, and how to interpret what they produce, this book will prove helpful.

Table of contents

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