Analysis of categorical data

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