SAS/STAT 9.22 User's Guide


Book Description

Contains procedure documentation and introductory information about SAS/STAT procedures that relate to power analysis. This book is an excerpt from the SAS/STAT User's Guide; it contains the chapters "Introduction to Power and Sample Size Analysis," "The GLMPOWER Procedure," and "The POWER Procedure," and an excerpt from the chapter "Shared Concepts and Topics." This title is also available online.




SAS/STAT 9. 22 User's Guide


Book Description

Describes usage of the Output Delivery System for statistical graphics in SAS/STAT 9.22. This title is also available online.




SAS/STAT 9.22 User's Guide


Book Description

Book excerpt from SAS/STAT 9.22 user's guide.




SAS/STAT 9. 22 User's Guide


Book Description

The REG procedure is a general-purpose procedure for linear regression. This title is also available online.




SAS/STAT 9.22 User's Guide


Book Description

The LOGISTIC procedure fits linear logistic regression models for discrete response data by the method of maximum likelihood. It can also perform conditional logistic regression for binary response data and exact conditional logistic regression for binary and nominal response data. This title is also available online.




SAS/STAT 9. 22 User's Guide


Book Description

The MIXED procedure fits a variety of mixed linear models to data and enables you to use these fitted models to make statistical inferences about the data. This title is also available online.




SAS/STAT 9. 22 User's Guide


Book Description

The FREQ procedure produces one-way to n-way frequency and contingency (crosstabulation) tables. For two-way tables, PROC FREQ computes tests and measures of association. For n-way tables, PROC FREQ provides stratified analysis by computing statistics across, as well as within, strata. This title is also available online.




SAS/STAT 9. 22 User's Guide


Book Description

The GENMOD procedure fits generalized linear models. This title is also available online.




SAS/STAT 9. 22 User's Guide


Book Description

The GLIMMIX procedure fits and analyzes generalized linear mixed models (GLMM), models with random effects for data that can be nonnormally distributed. This title is also available online.




SAS/STAT 9. 22 User's Guide


Book Description

The GLM procedure uses the method of least squares to fit general linear models. Among the statistical methods available in PROC GLM are regression, analysis of variance, analysis of covariance, multivariate analysis of variance, and partial correlation. This title is also available online.