PDF Ebook Logistic Regression Using the SAS System: Theory and Application, by Paul D. Allison
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Logistic Regression Using the SAS System: Theory and Application, by Paul D. Allison
PDF Ebook Logistic Regression Using the SAS System: Theory and Application, by Paul D. Allison
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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.
- Sales Rank: #1007023 in Books
- Published on: 2001-12-21
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x .70" w x 8.50" l, 1.58 pounds
- Binding: Paperback
- 308 pages
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
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.
Most helpful customer reviews
19 of 20 people found the following review helpful.
Incredibly Helpful
By A Customer
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!
2 of 2 people found the following review helpful.
Must have book for the SAS user
By Bionic Hedgehog
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.
0 of 0 people found the following review helpful.
You can get by with just this one
By Dave
If you need to understand logistic regression analysis and you must do it in SAS, then you must have this book.
Gives clear, concise explanation of logistic regression, how to accomplish it in SAS, and explains the details of the SAS results.
This book had me up and running in short order.
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