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. This book is part of the
SAS Press program.
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Produktdetaljer
ISBN
9781599948843
Publisert
2017
Utgave
2. utgave
Utgiver
Vendor
SAS Institute
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter