What’s New in SAS/STAT |
Highlights of Enhancements |
The Power and Sample Size application (PSS), previously available as a Web application, has been rewritten as a Java client. Its documentation is now included here; see Chapter 68, The Power and Sample Size Application.
In addition, over two hundred enhancements have been added to existing procedure in SAS/STAT. For example,
The TTEST procedure provides simple crossover analysis as well as equivalence tests.
Jackknife and BRR variance estimation and domain analysis are now provided by all of the survey data analysis procedures.
The POWER procedure now provides power for a number of additional analyses.
The GENMOD procedure fits zero-inflated Poisson regression models. PROC GENMOD also provides deletion and diagnostics statistics for its GEE models and provides graphics for these statistics.
The PHREG procedure adds a HAZARDRATIO statement for computing hazard ratios, including hazard ratios in the presence of interactions.
The GLIMMIX procedure introduces the COVTEST statement for inference about covariance parameters. In addition, PROC GLIMMIX provides new estimation methods: Laplace and adaptive quadrature.
An experimental EFFECT statement can be found in the GLIMMIX, GLMSELECT, and QUANTREG procedures. It enables you to construct special collections of columns for design matrices (for example, splines and multimember effects).
Finally, note that this documentation contains several new introductory chapters. See Chapter 3, Introduction to Statistical Modeling with SAS/STAT Software, Chapter 6, Introduction to Mixed Modeling Procedures, Chapter 19, Introduction to Power and Sample Size Analysis, and Chapter 18, Shared Concepts and Topics.
More information about the changes and enhancements follow. The details can be found in the documentation for the individual procedures.
Copyright © 2009 by SAS Institute Inc., Cary, NC, USA. All rights reserved.