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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.

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本の長さ

292ページ
言語

英語
出版社

Sas Inst
発売日

1995/12/13
寸法

22.23 x 1.91 x 27.94 cm
ISBN-10

155544279X
ISBN-13

978-1555442798
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商品の説明

著者について

Paul D. Allison

Paul D. Allison is Professor of Sociology 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 on survival analysis 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.

登録情報

出版社 ‏ : ‎ Sas Inst (1995/12/13)
発売日 ‏ : ‎ 1995/12/13
言語 ‏ : ‎ 英語
ペーパーバック ‏ : ‎ 292ページ
ISBN-10 ‏ : ‎ 155544279X
ISBN-13 ‏ : ‎ 978-1555442798
寸法 ‏ : ‎ 22.23 x 1.91 x 27.94 cm

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R. A. Bruer

This older edition still has much to offer

2016年7月21日にアメリカ合衆国でレビュー済み

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Survival analysis represented a significant gap in my statistical training and this older edition of Allison's text has addressed my needs. The text provides fascinating explorations into the wide possibilities for outcome measurement. Mind you, the age of this edition raises a slight challenge in that significant portions of the SAS coding is different in newer versions of SAS (much coding will not work if simply copied verbatim). But hey, good to have to figure out the workarounds.

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Heather K

Great for beginners

2011年11月29日にアメリカ合衆国でレビュー済み

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I never took a survival course in college but had to do some analyses for work. This book had the right amount of theory to understand everything and showed how to perform the analyses in SAS wonderfully. I pull out this book every time I have to do a survival analysis and always find what I need. Highly recommend.

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A Sanders

I think I know it by heart now

2008年5月2日にアメリカ合衆国でレビュー済み

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This is by far the best SAS book I own (and I have a whole shelf full). I have made use of it repeatedly. The examples are excellent. This is definitely a methods book, not a theory book, but the presentation of the statistical concepts is clear and easy to follow and apply.

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stocknewbie

Five Stars

2014年9月10日にアメリカ合衆国でレビュー済み

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The best Survival Analysis book I have used. It

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Anonymous

Nice reference for survival analysis

2007年1月11日にアメリカ合衆国でレビュー済み

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So far, this book has been a useful reference for survival analysis. It is clearly written and the xplanatins are understandable and helpful. It would be nice to have a newer edition that addresses changes in later versions of SAS.

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Survival Analysis Using the Sas System: A Practical Guide ペーパーバック – 1995/12/13

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Paul D. Allison

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