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Online SAS - Multivariate Methods

  1. Introduction to categorical data analysis:
    • Obtain and interpret relative risk, odds-ratios, and confidence intervals for odds-ratios.
  2. Binary Logit Models I:
    • Fit and interpret a simple logistic regression model.
    • Assess model fitness & classification rates.
  3. Binary Logit Models II:
    • Fit and interpret a multiple logistic regression model.
    • Assess model fitness & classification rates.
    • Perform model diagnostics & selection.
  4. Generalized Logit Models:
    • Fit and interpret the model.
    • Assess model fitness & classification rates.
    • Perform model diagnostics & selection.
  5. Cumulative Logit Models (The Proportional Odds Model):
    • Fit and interpret the model.
    • Assess model fitness & classification rates.
    • Perform model diagnostics & selection.
  6. Evaluate multivariate normality and propose appropriate data transformations if needed.
  7. Perform a Descriptive Discriminant Analysis and summarize the results.
????No application is required to enroll in this course.
 
Hardware Requirements: You must have a computer and some kind of high-speed internet connection – we recommend a 128mbps connection at a minimum. 
 
Software Requirements: In this course, you will be required to have access to SAS. SAS Studio is freely available through SAS On Demand.
Course ID/# : 1880/UANA1005
Fee: $500.00



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