4 Day Course
Monday, April 15 | 1:00 p.m. - 4:30 p.m. ET
Tuesday, April 16 | 1:00 p.m. - 4:30 p.m. ET
Wednesday, April 17 | 1:00 p.m. - 4:30 p.m. ET
Thursday, April 18 | 1:00 p.m. - 4:30 p.m. ET
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.
Duration: 4 half-day sessions