Logistic Regression Using the SAS System: Theory and Application [Paperback]

Paul D. Allison (Author)

Book Description

Publication Date: December 21, 2001 | ISBN-10: 0471221759 | ISBN-13: 978-0471221753 | Edition: 1

Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to implement it using the SAS System. Allison includes several detailed, real-world examples of the social sciences to provide readers with a better understanding of the material. He also explores the differences and similarities among the many generalizations of the logistic regression model.

Editorial Reviews

Review

The book treats logistic regression as the next topic in the regression methodology, so one is expected to have learned regression analysis already. Consistent with the author's social-science background, he begins with models for dichotomous responses. The logic model is treated as the solution to the problems one would encounter with using linear regression for binary response data. Both PROC LOGISTIC and PROC GENMOD are introduced. PROC REG is cleverly included, though, as a diagnostic for collinearity. The excellent binary data diagnostics in PROC LOGISTIC and PROC GENMOD are covered extensively. The probit model is also considered. --Eric Ziegel, Technometrics, Book Review Editor

Users of other software and other books are probably tired of my hype for these inexpensive books that integrate applied statistics and SAS procedures. This is another great applied-statistics and SAS-application guidebook, which should be essential to the library of anyone who uses SAS. --Eric Ziegel, Technometrics, Book Review Editor --This text refers to an out of print or unavailable edition of this title.

About the Author

Paul D. Allison is a Professor of Sociology and Epidemiology at the University of Pennsylvania where he teaches graduate courses in survival analysis and categorical data analysis. Every summer he teaches a five-day workshop about logistic regression that is attended by researchers from around the United States and Canada. Besides his numerous statistical papers, he has also published extensively on the subject of scientists' careers.

Product Details

• Paperback: 308 pages
• Publisher: WA (Wiley-SAS); 1 edition (December 21, 2001)
• Language: English
• ISBN-10: 0471221759
• ISBN-13: 978-0471221753
• Product Dimensions: 11 x 8.5 x 0.6 inches
• Shipping Weight: 1.3 pounds (View shipping rates and policies)
• Average Customer Review: 4.6 out of 5 stars  See all reviews (8 customer reviews)
• Amazon Best Sellers Rank: #401,633 in Books (See Top 100 in Books)

More About the Author

Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania, and President of Statistical Horizons LLC. You can visit his website at www.StatisticalHorizons.com. After completing doctoral work 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, logit analysis, probit analysis, measurement error, inequality measures, missing data, Markov processes, and event history analysis. Much of his earlier research was focused on career patterns of academic scientists. At present, his principal methodological research is focused on the analysis of longitudinal data, especially with determining the causes and consequences of events, and on methods for handling missing data. Each summer he teaches 5-day workshops on survival analysis and logistic regression analysis that draw about 90 doctorate-level researchers from around the U.S. At Penn, he teaches advanced graduate courses on event history analysis, categorical data analysis, and structural equation models with latent variables. A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology. In 2010, he was elected as a Fellow of the American Statistical Association.

Customer Reviews

Most Helpful Customer Reviews

18 of 19 people found the following review helpful:

5.0 out of 5 stars Incredibly Helpful, February 6, 2000

By A Customer

This review is from: Logistic Regression Using the SAS System : Theory and Application (Paperback)

I had used this author's SAS book on survival analysis before, so I was expecting another virtuoso performance when this book came out. And I was not disappointed. The book is incredibly useful, provides clear examples, makes you feel like you really understand the statistics, provides voluminous SAS code to illustrate how to implement analyses, and even teaches you a few tricks about how to handle unusual data problems along the way. Highly recommended, even if you don't use SAS!

11 of 14 people found the following review helpful:

4.0 out of 5 stars Show me how, August 8, 2001

By 

Hala Elzimaity "hzimaity" (ON, Canada) - See all my reviews
(REAL NAME)   

This review is from: Logistic Regression Using the SAS System : Theory and Application (Paperback)

It is always nice to have an example. This is what this book gives you. It also gives you options. SAS commands are written clearly. It still can not be your only logistic regression book. You will need other books to have a better understanding of logistic regression.

1 of 1 people found the following review helpful:

5.0 out of 5 stars Must have book for the SAS user, September 14, 2007

By 

Girish Venkataraman (IL, USA) - See all my reviews
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Amazon Verified Purchase

This review is from: Logistic Regression Using the SAS System: Theory and Application (Paperback)

In the first place, I am a pathologist writing a review on a book on statistics. That, by itself, will raise a few eyebrows. Few pathologists, in my opinion, understand statistical jargon. Yet, I would recommend this $40 book to even a novice in pathology who wants to do logistic regression modeling. While this books does explain logistic regression like most other books, what sets this book apart, are the real-world examples and the simple SAS code included with each example?

I have specifically been able understand GEE modeling only in this book, as compared to the numerous other books, where I find the statistical jargon intimidating; so much so that, I have ended up getting confused even after a couple of hours worth of intense reading. If you are devoted SAS user, you have probably read this book already. But if you are a novice pathologist and want to start learning a new program, I would advise Stata rather than SAS. SAS, in my opinion is code heavy. Yet, this book will be very useful to understand the varied uses of logistic regression (from exact to GEE analyses, especially from a pathologist's perspective). All discussions are to the point without too much jargon. For $40 this book is great value. I am just waiting to see if a newer version comes up in the near future.