Statistics II: Advanced ANOVA Regression

Duration: 3.0 days CEUs: 1.8

AUDIENCE
This course is designed for analysts and statisticians who need to understand continuous response data with regression and analysis of variance methods.

BENEFITS

Students will learn how SAS® handles:
• Linear and mixed models
• Analysis of covariance
• General Linear, Mixed Models and Fit Models
• Validating Assumptions
• Multi factor analysis

PREREQUISITES
Statistics I: Basic ANOVA, Regression and Logistic Regression course or equivalent understanding. You should be able to:

• Fit regression models with Proc REG
• Perform one-way analysis of variance using Proc GLM
• Understand normal and sampling distributions
• Understand estimations and hypothesis testing

COURSE TOPICS

Advanced Analysis of Variance
• Creating multiple comparison/contrasts
• Balanced and unbalanced designs
• Proc GLM and MIXED for analysis of variance on random block designs
• Proc ANOVA for n-way statistics
• Uses of the Welch ANOVA

Advanced Regression Analysis
• Proc GENMOD to fit linear and poisson regressions
• Creating and verifying a multiple polynomial regression
• Proc NLIN to fit nonlinear regressions

Indicator Variables and their use in Analysis of Covariance and Regression Models
• Analysis of covariance
• Regression Models
• Interpreting the analysis
• Proc REG to create indicator variables

Remedial Measures and Model Violations
• Transforming data to meet normality assumptions and stabilize variances
• Evaluating those assumptions

Software Used: Base SAS®, SAS/STAT®and SAS/GRAPH® Software.