Logistic regression models
Copyright policy )Logistic regression models
In the health sciences it is quite common to carry out studies designed to determine the influence of one or more variables upon a given response variable. When this response variable is numerical, simple or multiple regression techniques are used, depending on the case. If the response variable is a qualitative variable (dichotomic or polychotomic), as for example the presence or absence of a disease, linear regression methodology is not applicable, and simple or multinomial logistic regression is used, as applicable.
Likelihood Functions, Population Dynamics, Confounding Factors, Epidemiologic, Logistic Models, Nonlinear Dynamics, Risk Factors, Epidemiologic Research Design, Animals, Humans, Software
Likelihood Functions, Population Dynamics, Confounding Factors, Epidemiologic, Logistic Models, Nonlinear Dynamics, Risk Factors, Epidemiologic Research Design, Animals, Humans, Software
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