Analysis of categorical data
Encyclopedia
This a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables
- Categorical distributionCategorical distributionIn probability theory and statistics, a categorical distribution is a probability distribution that describes the result of a random event that can take on one of K possible outcomes, with the probability of each outcome separately specified...
, general model - Stratified analysis
- Chi-squared test
- Cochran–Mantel–Haenszel statistics
- Cochran-Armitage test for trendCochran-Armitage test for trendThe Cochran-Armitage test for trend, named for William Cochran and Peter Armitage, is used in categorical data analysis when the aim is to assess for the presence of an association between a variable with two categories and a variable with k categories. It modifies the chi-squared test to...
- Relative riskRelative riskIn statistics and mathematical epidemiology, relative risk is the risk of an event relative to exposure. Relative risk is a ratio of the probability of the event occurring in the exposed group versus a non-exposed group....
- Binomial regressionBinomial regressionIn statistics, binomial regression is a technique in which the response is the result of a series of Bernoulli trials, or a series of one of two possible disjoint outcomes...
- Multinomial logitMultinomial logitIn statistics, economics, and genetics, a multinomial logit model, also known as multinomial logistic regression, is a regression model which generalizes logistic regression by allowing more than two discrete outcomes...
- Measures of agreement
- McNemar's testMcNemar's testIn statistics, McNemar's test is a non-parametric method used on nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal...
- Kappa statistics
- Generalized linear models
- Wald testWald testThe Wald test is a parametric statistical test named after Abraham Wald with a great variety of uses. Whenever a relationship within or between data items can be expressed as a statistical model with parameters to be estimated from a sample, the Wald test can be used to test the true value of the...
- Generalized estimating equations
- Correspondence analysisCorrespondence analysisCorrespondence analysis is a multivariate statistical technique proposed by Hirschfeld and later developed by Jean-Paul Benzécri. It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data...