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Master CDA and GLM applications
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Module 5
Controlling for Confounding with Stratified Analysis
1
Understanding Confounding Variables
Define confounding and explain how it can distort the measure of association between two variables.
2
Identifying Confounding in Contingency Tables with Stratification
Use stratification to identify the presence of confounding in contingency table analysis.
3
CMH Test: Conditional Independence
Describe the purpose of the Cochran-Mantel-Haenszel (CMH) test for testing conditional independence.
4
Estimating the Common Odds Ratio
Explain the concept of a 'common odds ratio' across strata and how it is estimated.
5
CMH Test for Stratified 2x2 Tables
Apply the CMH test to stratified 2×2 tables and interpret the results, including the test for homogeneity of odds ratios.
Previous module
Analyzing Paired and Repeated Categorical Data
Next module
Foundations of Generalized Linear Models (GLMs)