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JMP® Education

ADVANCED TOPICS AND JMP PRO

JMP® Software: Analyzing Discrete Responses

This course teaches you how to analyze discrete (or categorical) data or outcomes using association, contingency tables, stratification, correspondence analysis, logistic regression, generalized linear models, partitioning, and artificial neural network models.

Learn how to:

  • Examine associations among variables
  • Perform chi-square and Fisher exact tests
  • Perform stratified analysis
  • Perform correspondence analysis
  • Perform logistic regression
  • Interpret logistic regression output
  • Fit a binary response and a count of events with generalized linear models (GLM)
  • Fit a decision tree model
  • Fit an artificial neural network model.
Who should attend

Analysts, researchers, technicians, and any others filling similar roles who want to analyze a response with discrete levels or a count of events and who have at least some statistical training

Associations

  • Introduction to categorical data
  • Examining associations among variables
  • Correspondence analysis

Logistic Regression

  • Likelihood approach
  • Binary logistic regression
  • Nominal and ordinal logistic regression models

Generalized Linear Models

  • The generalization
  • Logistic regression revisited
  • Poisson regression

Recursive Partitioning

  • Partition platform

Artificial Neural Network Models

  • Neural platform
Course Dates

This course is not available at this time. Please check back at a later date.

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