This repository includes workshop materials and information about Categorical data analysis provided by Bioinformatics and Computational Biosciences Branch (BCBB) at RML on September 9-12, 2019. Click here to see other workshop topics available.
Categorical data is the data type consisting of categorical variables or of data converted into categories or groups. Categorical data analysis is vital and useful statistical analysis in clinical research since categorical data occupies a large portion of the data we collect and use. Topics include: basis introducing different types of categorical data and characteristics, contingency table, probability distribution, to learn how to calculate and interpret some useful statistic such as odds ratio and relative risk. The last section is about different types of statistical testing for categorical data by cases. Each example will include a hands-on part of using Rstudio to perform the analysis.
This course is designed for beginner/intermediate level.
- Location: Room A322, RML Montana
- Time: Sept 12, 2019 @ 1-4pm
- Instructor: Jingwen Gu (jingwen.gu@nih.gov)
- Send email to bioinformatics@niaid.nih.gov for science support
- Check out our website https://bioinformatics.niaid.nih.gov/services for more consultation area BCBB provides
- Workshop slides
- How to use R, SAS, Stata, and SPSS statistical software for categorical data analysis
- If you are interested in perform categorical data analysis in Prism, please check the manual here.
- RStudio
- Argesti. A (2013) Categorical data analysis (3rd Edition)
- Sullivan, L. M. (2011) Essentials of biostatistics in public health
- Knuiman, M.W. & Speed, T.P. (1988) Incorporating Prior Information into the Analysis of Contingency Tables. Biometrics, 44 (4), 1061–1071