- Broschiert: 336 Seiten
- Verlag: SAS Institute; Auflage: 0002 (22. März 2010)
- Sprache: Englisch
- ISBN-10: 1599946408
- ISBN-13: 978-1599946405
- Größe und/oder Gewicht: 27,4 x 21,3 x 1,8 cm
- Amazon Bestseller-Rang: Nr. 155.405 in Englische Bücher (Siehe Top 100 in Englische Bücher)
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Survival Analysis Using SAS
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Produktbeschreibungen
Kurzbeschreibung
Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new techniques of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, ensuring that even the uninitiated become sophisticated users of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered in survival analysis books, such as time-dependent covariates, competing risks, and repeated events. Survival Analysis Using SAS: A Practical Guide, Second Edition, has been thoroughly updated for SAS 9, and all figures are presented using ODS graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data.
Über den Autor
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 www.PaulDAllison.com.
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4 von 4 Kunden fanden die folgende Rezension hilfreich
Great got better
23. Juli 2010
Format:Broschiert|Von Amazon bestätigter Kauf
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.
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.
3 von 3 Kunden fanden die folgende Rezension hilfreich
Fabulous
5. August 2010
Format:Broschiert
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.
The 1st edition was by far the best applied text.
This 2nd edition improves on the 1st.
0 von 1 Kunden fanden die folgende Rezension hilfreich
Good service. Timely
12. September 2011
Format:Broschiert|Von Amazon bestätigter Kauf
Great service. Right on time. Very reliable.Item as describe. Great book, with practical and useful information, very well written. Should have read it much earlier.
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