[Logistic regression]

Abstract

Logistic regression is a group of statistical techniques that aim to test hypotheses or causal relationships between a categorical dependent variable and other independent variables that can be categorical and quantitative. Through this model we intend to study the probability that the event studied will occur based on some variables that we assume are relevant or influential. In this method it is necessary to detect effect modifier and confounding variables. Its parameters are estimated with the maximum likelihood method through a process with successive iterations.

Keywords: Confounding and interaction variables; Función sigmoidea; Logistic regression; Maximum likelihood; Máxima verosimilitud; Regresión logística; Sigmoid function; Variables de confusión y de interacción.