Specifically, first a univariate model filter was applied to the data to select miRNA used for penalised multivariate linear regression.
Multivariate linear regression analysis showed only two parameters, lower lid length (p = 0.022) and lateral area (p = 0.019) were associated with exophthalmos reduction.
The multivariate linear regression was carried out as a penalised L1/L2 regression to reduce complicating effects of co-correlated miRNAs as predictors of the signature scores.
A best-fit prediction equation for transverse fracture was developed using multivariate linear regression.
Multivariate linear regression was used to analyse associations between %cCF and FV intake and variety.
The critical resolution, analysis time, and peak width were responses modeled by multivariate linear regression.
For this purpose a central composite design with multivariate linear regression (MLR) analysis was utilized.
Multivariate linear regression analysis was used to predict added sugar intake.
MesoWest uses multivariate linear regression to estimate observations [5].
Medical costs (reimbursed amounts in 2006 US dollars) were estimated by multivariate linear regression.
Multivariate linear regression analyses with mixed models were carried out to account for sibling clustering.
