Loterre: SAGE: logistic regression

... > health > public health > epidemiology > statistics and research methods > logistic regression

... > medicine > clinical medicine > medical decision making > biostatistics and clinical epidemiology > logistic regression

... > curriculum studies > inquiry and research > quantitative research > quantitative data analysis > logistic regression

... > social research > research methods and evaluation > quantitative research > quantitative data analysis > logistic regression

logistic regression

Logistic regression is a statistical technique for analyzing the relationship of an outcome or dependent variable to one or more predictors or independent variables when the dependent variable is (1) dichotomous, having only two categories, for example, the presence or absence of symptoms, or the use or nonuse of tobacco; (2) unordered polytomous, a nominal scale variable with three or more categories, for example, type of contraception (none, pill, condom, intrauterine device) used in response to services provided by a family planning clinic; or (3) ordered polytomous, an ordinal scale variable with three or more categories, for example, whether a patient's condition deteriorates, remains the same, or improves in response to a cancer treatment. Here, the basic logistic regression model for dichotomous outcomes is examined, noting its extension to polytomous outcomes and its conceptual roots in both log-linear analysis and the general linear model. [Source: Encyclopedia of Epidemiology; Logistic Regression]

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