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Resources for SAS/STAT^® 9.22

SAS/STAT 9.22 includes significant new features and enhancements. We have compiled a list of resources to help you start exploring this latest release.

Papers

• The Next Generation: SAS/STAT® 9.22
  Stokes, Maura; Rodriguez, Robert; Cohen, Robert; SAS Institute 2010
  

• Introducing PROC PLM and Postfitting Analysis for Very General Linear Models in SAS/STAT® 9.22
  Tobias, Randy; Cai, Weijie; SAS Institute 2010
  

• Not Hazardous to Your Health: Proportional Hazards Modeling for Survey Data with the SURVEYPHREG Procedure
  Mukhopadhyay, Pushpal K.; SAS Institute 2010
  

• Analyzing Interval-Censored Survival Data with SAS Software
  So, Ying; Johnston, Gordon; SAS Institute 2010; Kim, See Hee; UNC-Chapel Hill
  

• Everything In Its Place: Efficient Geostatistical Analysis with SAS/STAT Spatial Procedures
  Alexander Kolovos; SAS Institute, 2010
  

Examples

• Bayesian Analysis

  • An Example for the Posterior Predictive Distribution
  • Bayesian Binomial Model with Power Prior Using the MCMC Procedure

• Exact Methods

  • Exact Poisson Regression

• Model Selection

  • Model Averaging

• Postfitting Inference

  • Scoring with PROC PLM
  • Working with Item Stores
  • Group Comparisons in Ordinal Model
  • Linear Inference with Arbitrary Estimates
  • Using the LSMEANS Statement with PROC LOGISTIC

• Spatial Analysis

  • Using an Item Store for Prediction Input: Spatial Prediction of Pollutant Concentration

• Structural Equation Modeling

  • Simultaneous Equations with Mean Structures and Reciprocal Paths
  • The Full Information Maximum Likelihood Method
  • Testing Equality of Two Covariance Matrices Using a Multiple-Group Analysis
  • Illustrating Various General Modeling Languages

• Survey Data Analysis

  • Analysis of Clustered Data with the SURVEYPHREG Procedure