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Master CDA and GLM applications
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Module 10
Conditional Logistic Regression for Matched Data
1
Bias in Unconditional Logistic Regression for Matched Designs
Explain why standard (unconditional) logistic regression can produce biased estimates in matched study designs.
2
McNemar Test and Conditional Logistic Regression
Relate the McNemar test to a simple conditional logistic regression model.
3
Conditional Likelihood in Logistic Regression
Describe how conditional logistic regression uses a conditional likelihood to eliminate nuisance parameters.
4
Conditional Logistic Regression for Matched Case-Control Studies
Fit a conditional logistic regression model to a matched case-control dataset and interpret the resulting coefficients.
Previous module
Multinomial and Ordinal Logistic Regression
Next module
Poisson Regression and Log-Linear Models