"Rather than waiting for data integrations or struggling to interpret ad hoc reports, teams know where to focus, how to deploy resources, and what results to expect," its president says.

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Survival models using electronic health record data show promise in predicting progression to proliferative diabetic ...

A collaborative effort between the universities of Cordoba and Granada improved the spatial resolution of monthly climate ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

The cognitive toll of household air pollution: cross–sectional associations between polluting cooking fuel use, cognitive functions and brain MRI in a rural aging population from Karnataka, India ...

Zaidi, A. and Al Luhayb, A.S.M. (2023) Two Statistical Approaches to Justify the Use of the Logistic Function in Binary Logistic Regression. Mathematical Problems in Engineering, 2023, Article ID ...

Multivariate regression analysis was used to evaluate the relationship between alcohol intake and cognitive function. Smooth curve fitting and threshold effect analysis were employed to explore ...