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Survival Analysis Using SAS - A Practical Guide (Paperback, 2nd ed.)
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Survival Analysis Using SAS - A Practical Guide (Paperback, 2nd ed.)
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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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