Analysis of categorical data
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Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]
These are statistical procedures which can be used for the analysis of categorical data:
- regression
- analysis of variance
- linear modeling
- Log-linear modeling
- logistic regression
- repeated measures analysis
- simple correspondence analysis
- multiple correspondence analysis
- contingency table
- latent class model
- Log-linear modeling
- Burt table
- binary table
- frequency table
- chi-square statistics
- odds ratios
- Correlation (statistics)
- Fisher's exact test
- stratified analysis
- Cochran-Mantel-Haenszel statistics
- common relative risk
- binomial proportions
- measures of agreement
- McNemar's test
- Kappa statistics
- generalized linear models
- Wald test
- generalized estimating equation
- Correspondence analysis
See also: Categorical variable