Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations between single-nucleotide polymorphisms and multiple correlated phenotypes while controlling for population ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

IBM SPSS has been a long-standing favorite among data professionals for running statistical analyses and multivariate statistical techniques like linear regression. The SPSS Statistics software ...

which predicts a single numeric value based only on a linear combination of predictor values, linear regression with interactions can handle more complex data while retaining a high level of model ...

Oncology Risk Score Variables With Point Assignment A single point was assigned to each variable ... We developed an oncology acute care risk prediction model using a multivariate linear regression ...

The association between possible prognostic parameters and TTRTP was assessed with a multivariate linear regression model. Parameters that had a p value <0.2 on univariate testing were included in ...