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A bivariate case of the proposed multivariate model is presented.
A reliable and realistic statistical multivariate model is essential to produce a representative estimate of the sea state for understanding the ocean conditions.
Another multivariate model is proposed by King et al.
The area-under-the-curve for each univariate and multivariate model is shown to compare the models.
The multivariate model is specified as a generic latent linear probability function as: H * = X ' β + u (1).
In the recent years, it is been recognized that the multivariate model is more promising than a single biomarker for risk assessment of disease.
Similar(30)
A multivariate model was developed in the derivation cohort using an exhaustive modeling approach.
Variables included in the multivariate model were age, gender, race, SES, and MOI.
The multivariate model was then stratified by RRM1 (Table S2) and without disease stage.
The multivariate model was repeated to examine the subgroup of documented seroconverters.
A multivariate model was fitted with the variables examined in the univariate setting.
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