The multivariate model is a popular statistical tool that uses multiple variables to forecast possible investment outcomes.

With his patent for multivariate transaction classification and his ongoing work at Medalogix, Chandra stands as a leader in both innovation and application.

We consider both the uncapacitated and capacitated assortment problems under the so-called Multivariate MNL (MVMNL) model, which is one of the most popular multivariate choice models used in the ...

A multivariable model for time to first treatment was developed, which was used to generate a nomogram to calculate a weighted likelihood for requiring first treatment and estimate individuals' time ...

Andrew Evens, DO, MBA, MSc, discusses a modern way of stratifying risk in patients with early-stage Hodgkin lymphoma.

The problem of classifying an observation into one of two multivariate normal populations with the same covariance matrix has been thoroughly discussed by Anderson [1] when the populations are ...

Multivariate Clustering Analysis in R Course Topics Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration.

Multivariable logistic regression model was used to identify risk factors and stratify patients into high-risk and low-risk groups. A novel ORN classification system was developed to depict ORN ...