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 ...

A comparison of logistic functions. Logistic regression models have one dependent variable and several independent categorical or continuous predictor variables. Unlike standard linear regression ...

A model with eight independent risk factors can predict the risk for deep vein thrombosis in patients with epithelial ovarian cancer.

Specific protein signatures could predict a future diagnosis of Crohn disease and ulcerative colitis, potentially enabling ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Logistic regression is the appropriate tool for such an investigation. Note that Model Pr{ }: determines which value of the dependent variable the model is based on; usually, the value representing an ...