The GLM Procedure
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Overview
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Getting Started
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Syntax
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DetailsStatistical Assumptions for Using PROC GLMSpecification of EffectsUsing PROC GLM InteractivelyParameterization of PROC GLM ModelsHypothesis Testing in PROC GLMEffect Size Measures for F Tests in GLMAbsorptionSpecification of ESTIMATE ExpressionsComparing GroupsMultivariate Analysis of VarianceRepeated Measures Analysis of VarianceRandom-Effects AnalysisMissing ValuesComputational ResourcesComputational MethodOutput Data SetsDisplayed OutputODS Table NamesODS Graphics
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ExamplesRandomized Complete Blocks with Means Comparisons and ContrastsRegression with Mileage DataUnbalanced ANOVA for Two-Way Design with InteractionAnalysis of CovarianceThree-Way Analysis of Variance with ContrastsMultivariate Analysis of VarianceRepeated Measures Analysis of VarianceMixed Model Analysis of Variance with the RANDOM StatementAnalyzing a Doubly Multivariate Repeated Measures DesignTesting for Equal Group VariancesAnalysis of a Screening Design
- References
Subsections:
- Statistical Assumptions for Using PROC GLM
- Specification of Effects
- Using PROC GLM Interactively
- Parameterization of PROC GLM Models
- Hypothesis Testing in PROC GLM
- Effect Size Measures for F Tests in GLM
- Absorption
- Specification of ESTIMATE Expressions
- Comparing Groups
- Multivariate Analysis of Variance
- Repeated Measures Analysis of Variance
- Random-Effects Analysis
- Missing Values
- Computational Resources
- Computational Method
- Output Data Sets
- Displayed Output
- ODS Table Names
- ODS Graphics