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About the course

The course covers topics from the books of David Collett "Modelling Binary Data" and Alan Agresti "An Introduction to Categorical Data Analysis". The course consists of 3-4 classes, each of three hours and combines theory and application using R. Topics covered in the course include:

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  • Comparing Proportions in Two-by-Two Tables.

  • The Relative Risk.

  • The Odds Ratio.

  • Chi-Squared Tests of Independence.

  • Generalized Linear Models for Binary Data (an introduction).

  • Logistic Regression:

    • Model formulation.

    • Interpretion.

    • Estimation.

    • Inference.

  • Multiple Logistic Regression.

  • Model Selection.

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Course developers: 

 

Nasima Akhter (Durham University,UK), Adetayo Kasim (Durham University,UK) and Ziv Shkedy (Hasselt University, Belgium)

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General information about the course

 

Course materials include:

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  • Slides for classes (in PDF format).

  • R programs for the 5 chapters of the course.

  • Online materials.

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As a student in the course, you can use the slides, R programs and online materials:

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  • Click on the button Topics. This will take you to a page with slides for the 5 chapters that cover all topics in the course and two online books.

  • For online books, online tutorials and YouTube tutorials clink on the button Online Tutorials.

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