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Topics

The course consists of 5 chapters . All the examples are illustrated using R and the code is available in the R program of the chapter.

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Useful R functions include:

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  • table()

  • oddsratio()

  • prop.test()

  • chisq.test()

  • glm()

 

The course in slides format

The slides of the course are available online in both PowerPoint and PDF formats.

Slides
 
The following  topics, organized in 5 chapters, are covered in the course:
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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.

 

External datasets for the examples and illustrations are available in the data repository.

Online books


 
The Two online books that cover (mainly) the topics of logistic regression and the analysis of J X I tables using R. R code 
is a part of the html document.
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