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Categorical Data Analysis: Course Outline

This a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables.

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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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