Categorical Data Analysis in Epidemiology
A course that I used to TA in University Washington
Course Descriptions
COURSE TOPICS / ROADMAP
1. Measures of Disease Occurrence and Association
a. L’abbe plots
b. Collapsibility of a Measure; non-collapsibility of the odds ratio
2. Confounding
a. Marginal and Conditional Confounding Control
b. Confounding as distinct from non-collapsibility
3. Directed Acyclic Graphs (DAG) and Causal Models
a. Identifying an appropriate set of adjustment variables from a DAG
4. Logistic Models
a. Cohort studies
b. Case-control studies
c. Matched case-control studies
d. Model parameterization and reparameterization
5. Maximum likelihood estimation and logistic regression;
a. Wald tests, Likelihood ratio tests, Score tests
b. Nested models and simultaneously testing >1 regression parameter
6. Options when adjusting for a confounder in regression analysis
a. Regression splines for continuous confounders
7. Options for including the Exposure variable in regression analysis
8. Precision variables in logistic regression
a. Cohort studies
b. Case-control studies