Yahoo Finance

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 ...
JSTOR Daily

The Application of the Cumulative Logistic Regression Model to Automated Essay Scoring

Most automated essay scoring programs use a linear regression model to predict an essay score from several essay features. This article applied a cumulative logit model instead of the linear ...
technologynetworks

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 ...
Nature

Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP–SNP interactions and their application in prostate cancer

Single nucleotide polymorphism (SNP) interaction plays a critical role for complex diseases. The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient ...
University of Bristol

Introduction to Linear and Logistic Regression Models

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 ...