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Survival Analysis Using SAS: A Practical Guide, Second Edition Perfect Paperback – 22 Mar 2010

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Survival Analysis Using SAS: A Practical Guide, Second Edition + Logistic Regression Using SAS: Theory and Application, Second Edition
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Product details

  • Perfect Paperback: 336 pages
  • Publisher: SAS Institute; 2 edition (22 Mar. 2010)
  • Language: English
  • ISBN-10: 1599946408
  • ISBN-13: 978-1599946405
  • Product Dimensions: 21 x 1.9 x 27.9 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 196,144 in Books (See Top 100 in Books)

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Product Description

About the Author

Paul D. Allison is Professor of Sociology at the University of Pennsylvania, where he teaches graduate courses in statistics. He is the author of Logistic Regression Using the SAS System: Theory and Application, Survival Analysis Using SAS: A Practical Guide, and Fixed Effects Regression Methods for Longitudinal Data Using SAS. Paul has also written numerous statistical papers and published extensively on the subject of scientists' careers. He frequently teaches public short courses on the methods described in his books. You can visit his Web site at

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Most Helpful Customer Reviews

Format: Perfect Paperback Verified Purchase
Having struggled for a number of weeks trying to make sense of the survival analysis functions in SAS through internet searches, coming across this book has enabled me to quickly make progress on my project. It covers, in a clear and logical manner, the main techniques available in SAS for undertaking survival analysis together with sufficient theoretical background.
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Most Helpful Customer Reviews on (beta) 13 reviews
8 of 8 people found the following review helpful
Great got better 23 July 2010
By I Teach Typing - Published on
Format: Perfect Paperback Verified Purchase
If you read the reviews of the first edition of this book (Survival Analysis Using SAS: A Practical Guide) you will see that everyone loved it. This edition is even better. The new edition is updated to cover a *LOT* of new functionality. There are new tests, new methods (especially noteworthy are the new Bayesian techniques), and a lot of new graphics. Things that used to be done with custom macros are now built into SAS and Allison covers them with the same clarity as people loved in the first edition.

To get a feel for the updates, the chapter on Kaplan-Meier methods is greatly expanded (don't worry if you don't know what that means he explains both the math and concepts beautifully). In the first edition he showed how to test for differences between three treatment groups but if there were differences in between the groups you could not test to see if group "a" differed from "b" or "b" from "c", etc., and adjust the p-values for multiple comparisons, this edition covers these critical tests (with adjustments for multiple comparison). There is also a lot of new material on graphics, like getting hazard function estimates with confidence intervals.

If you are a biomedical researcher, this book explains both the reasons why you will want to do a test and how to conduct it. Basically Allison makes SAS seem like the best choice for survival analysis.
6 of 6 people found the following review helpful
Fabulous 5 Aug. 2010
By EPISTAT - Published on
Format: Perfect Paperback
I have taught survival analysis for a decade.
The 1st edition was by far the best applied text.
This 2nd edition improves on the 1st.
This book isn't as clear and helpful as the other ... 24 Sept. 2014
By Rick - Published on
Format: Perfect Paperback Verified Purchase
This book isn't as clear and helpful as the other reviewers seem to suggest. The background information on survival analysis is clear enough, as is the overview on the pros/cons of each SAS procedure. However, the examples leave much to be desired. The author assumes a fairly advanced understanding of statistics. I conduct social science research, have a reasonable understanding of statistics, and had hoped to teach myself survival analysis. I found that the author has written a text that requires a fair amount more mathematics and statistics background. Throughout the book, the author regularly references mathematical formulas and falls into "stats-speak" which muddles the explanation. I'd hoped that this book was more in line with "Multilevel and Longitudinal Modeling with IBM SPSS" by Heck, Thomas, and Tabata, which I found explains advanced statistical topics in a much more straight-forward manner and is chock full of beautifully-explained step-by-step examples.
One of the clearest and simplest books on Survival-Analysis 6 Oct. 2013
By ripeApricots - Published on
Format: Perfect Paperback Verified Purchase
This is one of the clearest and simplest books on Survival analysis, and a pleasure to read. The subject matter is developed gradually and with with minimum pre-requisites beyond a working knowledge of and familiarity with linear regression.

A great primer, though if you are implementing some of the Survival Analysis techniques (as opposed to just using SAS), you will have to supplement this with a more extensive work.
great guide 30 Jun. 2013
By china - Published on
Format: Kindle Edition Verified Purchase
It is a great start to understand about survival analysis using SAS. It is very easy to read and follow.
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