categorical data analysis
any of several statistical procedures used to model variables that indicate counts or observations in specific categories, often as a function of one or more predictor variables. For example, counts of survival status (e.g., life vs. death) may be compared by treatment condition (e.g., treatment vs. no treatment). Techniques commonly used in categorical data analysis include the chi-square test, logistic regression, and probit analysis.