The 33-year-old state assemblyman just achieved one of the greatest political upsets in New York City history.

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine ...

The validation cohort was derived from the Captor trial. Independent predictors of poor outcome after endovascular treatment were obtained from the least absolute shrinkage and selection operator ...

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Multivariable logistic regression was performed with multiple imputation and stepwise backward elimination to adjust for maternal demographic and clinical factors including maternal age, height, and ...

This two part series on statistical principles in neurointervention offers a comprehensive foundation for neurointerventionalists to engage with both fundamental and advanced statistical principles.

In secondary analyses, we evaluated the polygenic risk of PSE by stroke subtype (ischemic, hemorrhagic, or any stroke). Multivariable logistic regression models were fitted, adjusting for age, sex, ...

Discover how multivariate analysis enhances predictive modeling in data science for more accurate forecasting and insights.