SAS Workshops

• DATA STEP     An introduction to the SAS system. This workshop concentrates on the SAS DATA STEP with emphasis on data input, manipulation, output and summary. No prior SAS experience is required. LENGTH: 8 hrs.
  
  
• Power and Sample Size Estimation     SAS procedures to compute estimated sample sizes and staistical power. Covers both simple designs, as well as advanced designs including generalized linear mixed models. Some SAS experience is assumed. LENGTH: 2-3 hrs.
  
  
• SAS/GLIMMIX     Using the SAS system for setting up and running simple Generalized Linear Models and computing their associated statistical power. Some SAS experience with the DATA STEP is assumed. LENGTH: 2.5 hrs.
  
  
• PROC MIXED     This workshop covers the analysis of designed experiments with PROC MIXED. Topics include mixed models ANOVA, repeated measures, regression, and spatial correlation. Contrasts, mean estimation, and pair-wise comparisons using mixed models is also discussed. Experience with the SAS DATA STEP is assumed. LENGTH: 2 hrs.
  
  
• Multivariate Procedures     SAS multivariate procedure are covered. Included procedures are PROC PRINCOMP, PROC CLUSTER, PROC DISCRIM, MANOVA (PROC GLM), AND PROC CANCORR. Experience with the SAS DATA STEP is assumed. LENGTH: 3 hrs.
  
  
• PROC GLM & ANOVA     This workshop covers the analysis of designed experiments with PROC ANOVA and PROC GLM. Topics include ANOVA, ANCOVA, regression, contrasts, and mean estimation. Experience with the SAS DATA STEP is assumed. LENGTH: 3 hrs.
  
  
• PROC REG     Analysis of data utilizing regression techniques in SAS. Topics include linear and multiple regression, regression diagnostics, and model comparison using dummy variables. Some SAS experience with the DATA STEP is assumed. LENGTH: 3 hrs.
  
  
• PROC CATMOD      Analysis of discrete categorical data using SAS. Topics include one-way, two-way, and multiway tables, and contrasts using PROC FREQ and PROC CATMOD. Some experience with the SAS DATA STEP is assumed. LENGTH: 3 hrs.
  
  
• PROC GENMOD      Analysis of discrete data using SAS. Topics include binomial, multinomial, and count response types. Some experience with the SAS DATA STEP is assumed. LENGTH: 2 hrs.
  
  
• PROC NLIN      Analysis of data through nonlinear regression models in SAS. Topics include model form, parameterization, estimation, diagnostics, comparison. Some experience with the SAS DATA STEP is assumed. LENGTH: 2 hrs.
  
  
• SAS/GRAPH     Using the SAS system for graphical display and output. Topics include charts, scatterplots, 3D surface plots, and contour plots. Output of graphics to external file formats for presentation is also covered. Some SAS experience with the DATA STEP is assumed. LENGTH: 2 hrs.
  
  

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