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For the definition of the regional models a multivariate stepwise regression analysis was used, while a jack-knife procedure in the validation phase was performed.
In addition to the comparison of distinct models, a multivariate application of the twin design offers a unique opportunity to test whether there is support for g as a latent construct with its own genetic and environmental influences, or whether the relationships among cognitive tests are instead driven by independent genetic and environmental factors.
(7) (8) Based on the multiple transformation equations between non-compartment model PK parameters and one or two compartment models, a multivariate nonlinear mixed effect model is established to estimate the population level PK parameters and their between study variances.
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We took two approaches for each side effect model: a multivariate logistic regression model that included all variables, and a machine learning logistic regression model with feature selection.
For a more general model a multivariate (c-variate) distribution of measurement error can be used (See Definition of functions assuming multivariate measurement error probability density functions in Appendix S1).
For statistical efficiency in the final model, a multivariate regression was used.
Trying to find a combined score of biomarkers model, a multivariate logistic regression analysis which included a stepwise method based on the likelihood ratio has been explored.
Using the same model, a multivariate analysis was performed to take into account the combined effects of numerical (including characteristic neural frequency) and categorical variables altogether.
In Table 4 model A, multivariate analysis showed that high expression of TLR4 was significantly associated with poor OS (adjusted HR: 1.88; 95% CI: 0.99 3.55; P=0.0298; Table 4).
We conduct univariate analyses (model with a single covariate), and then combine the significant covariates from the univariate models in a multivariate Markov model.
Two models were estimated for each of the oxidative stress variables and each of the outcomes: a univariate (unadjusted) model and a multivariate model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com