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Master CDA and GLM applications
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Module 4
Analyzing Paired and Repeated Categorical Data
1
Limitations of Chi-Square for Paired Data
Explain why standard chi-square tests are inappropriate for paired or matched categorical data.
2
Understanding the McNemar Test for Paired 2x2 Tables
Describe the McNemar test for analyzing pre-post changes in paired 2×2 tables.
3
Applying and Interpreting the McNemar Test
Apply the McNemar test and interpret its results in a practical context.
4
Beyond McNemar: Introducing the Stuart-Maxwell Test
Describe the Stuart-Maxwell test as a generalization of the McNemar test for k×k tables.
5
Cochran's Q Test for Related Proportions
Describe and apply the Cochran Q test for comparing proportions across more than two related groups.
6
Comparing Test-Based and Model-Based Approaches for Paired Data Analysis
Contrast test-based approaches (e.g., McNemar) with model-based approaches (e.g., Conditional Logistic Regression) for analyzing paired data.
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Analyzing Ordinal Categorical Data
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Controlling for Confounding with Stratified Analysis