Categorical Data Analysis: Course Outline

• Introduction.
• Describing two way contingency tables.
• Inference for two way contingency tables.
• Models for binary response variables.
• Log linear models. 
• Fitting Log linear and Logit models.
• Building and applying Log linear models.
• Log linear.
• Probit and Logit models.
• Multinomial response models for matched pairs.
• Analyzing repeated categorical response data.
• Logistic regression models and their analysis.

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