'multivariate prediction model' is correct and usable in written English.
You can use it when you are referring to a model that uses more than one variable to predict a result. For example, "The researcher used a multivariate prediction model to analyze the relationships between environmental factors and quality of food."
The last step (Step 3) was the multivariate prediction model construction.
The statistically optimal use of independent variables is to construct a multivariate prediction model.
Using our multivariate prediction model, it might even be possible to help patients making treatment-related decisions.
The multivariate PLS method relates two data matrices, X and Y, to each other by a linear multivariate prediction model.
This also suggests that a multivariate prediction model should be developed for AF recurrence, and that hs-CRP should be a candidate for inclusion in the model.
In multivariate prediction model building, the top few informative features are usually combined and genes are added incrementally to increase the predictive performance.
Multivariate prediction models were developed to predict optimal cup stem orientations for the chosen design parameters of 12 hip implants.
Furthermore, we demonstrated that the addition of the 1-h PG to multivariate prediction models significantly improves their predictive power, indicating that the 1-h PG contains additional information about future T2DM risk compared with all known diabetes risk factors.
Multivariate prediction models need to be evaluated in cohorts distinct from the derivation set to determine external validity.
In this study, multivariate prediction models achieved a higher level of accuracy than narrow-band vegetation indices, making multivariate modeling the best choice for mapping.
The aim of this systematic review of multivariate prediction models is to report their performance in new patients, and compare study methods against current recommendations.
