Ander Wilson, Corwin M. Zigler, Chirag J. Patel, Francesca Dominici, Model-Averaged Confounder Adjustment for Estimating Multivariate Exposure Effects with Linear Regression, Biometrics, Vol. 74, No.

A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

We developed an oncology acute care risk prediction model using a multivariate linear regression model and a point-based risk index. This model is unique in several ways.

We consider the multivariate response regression problem with a regression coefficient matrix of low, unknown rank. In this setting, we analyze a new criterion for selecting the optimal reduced rank.

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

For QEPS input, univariate and multivariate linear regression models of participants' longitudinal height at various periods (early life, childhood, and puberty) were used to create individual ...