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What's New in SAS/STAT 9.3

SAS/STAT 9.3 includes a new FMM Procedure (Experimental) and many enhancements. The highlights include:

  • The EFFECT statement is now production. This statement is available in the HPMIXED, GLIMMIX, GLMSELECT, LOGISTIC, ORTHOREG, PHREG, PLS, QUANTREG, ROBUSTREG, SURVEYLOGISTIC, and SURVEYREG procedures.
  • The MCMC procedure now supports the RANDOM statement.
  • The METHOD=FIML option in the CALIS procedure is now production. This option specifies the full information maximum likelihood method. Instead of deleting observations with missing values, the full information maximum likelihood method uses all available information from all observations.
  • The SURVEYPHREG procedure is now production.
  • The HPMIXED procedure now provides a REPEATED statement and additional covariance structures.
  • The MI procedure offers fully conditional specification methods for multiple imputation.


SAS/STAT Videos Available

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Making Use of Incomplete Observations: The Multiple Imputation and Direct Maximum Likelihood Methods with SAS Procedures
By Yiu-Fai Yung

Air date: March 13, 2012

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Fitting Bayesian Random-Effects Models Using PROC MCMC
By Fang Chen

Air date: December 12, 2011

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What's New in SAS/STAT 9.3
By Maura Stokes

Air date: August 18, 2011


Overview

From traditional statistical analysis of variance and predictive modeling to exact methods and statistical visualization techniques, SAS/STAT software is designed for both specialized and enterprise wide analytical needs. SAS/STAT software provides a complete, comprehensive set of tools that can meet the data analysis needs of the entire organization.

Visit our general product information page on www.sas.com for more information.

Related SAS Press Books
for Purchase

SAS for Mixed Models, Second Edition
By Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger

Statistical Graphics in SAS: An Introduction to the Graph Template Language and the Statistical Graphics Procedures
By Warren Kuhfeld

Statistical Programming in SAS
By John Bailer

Survival Analysis Using SAS: A Practical Guide, Second Edition
By Paul Allison

For more SAS/STAT books, visit the bookstore.

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These samples and SAS Notes are maintained by Technical Support.

  • Examples from documentation
    These software examples are grouped according to the type of statistical analysis that is being performed. Within each category of statistical analysis, the examples are grouped by the SAS/STAT procedure that is being demonstrated.
  • Web examples
    These software examples are grouped according to the type of statistical analysis that is being performed. These examples are not included in the SAS/STAT documentation and are available only on the Web.
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