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Multiple Regression, Logistic Regression, and Cox Regression Core Principles and Applications: ON-DEMAND COURSE

Dublin, Sept. 02, 2024 (GLOBE NEWSWIRE) -- The "Multiple Linear Regression, Logistic Regression, and Survival Analysis" webinar has been added to ResearchAndMarkets.com's offering. In this ...
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Logistic Regression

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
ascopubs.org

In hospital outcomes and mortality predictors of multiple myeloma on stroke hospitalizations: A multivariable logistic regression study on the National Inpatient Sample Database.

Belantamab mafodotin (belamaf) for relapsed/refractory multiple myeloma (RRMM): A real-world observational study update.
JSTOR Daily

Controlling for Continuous Confounders in Epidemiologic Research

Multiple regression models are commonly used to control for confounding in epidemiologic research. Parametric regression models, such as multiple logistic regression, are powerful tools to control for ...
JSTOR Daily

LOTUS: An Algorithm for Building Accurate and Comprehensible Logistic Regression Trees

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...