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These variables were then selected in a multivariate logistic regression via a stepwise procedure to build a multivariate model designed to identify factors independently and significantly associated with good neurological outcome.
There were insufficient data to build a multivariate model.
Logistic regression was used to build a multivariate model of predictors of PSA testing.
To build a multivariate model, we used forward selection to evaluate the additive effects of risk factors.
Univariate associations with a p-value < 0.25 were used to build a multivariate model using a backward elimination method.
Because neither subtype nor season was significantly associated with presence of clinical signs at the univariate level (Table 4), no attempts were made to build a multivariate model.
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After describing the relationships between explanatory variables, we built a multivariate model using logistic Generalized Linear Models (GLMs) and estimated parameters with a Generalized Estimating Equations (GEE) procedure.
We built a multivariate model in using few stations (3 stations) separated with irregular distances from 26 km to 56 km.
For each tool impact score we built a multivariate model using doctor characteristics as predictors.
In step 2, we built a multivariate model for the nine subscales of the RAND 36, using a backward stepwise procedure, because the subscales are highly correlated.
In this work we present a novel method to build a multivariate calibration model for NIR spectra, i.e. genetic algorithm radial basis function network in wavelet domain (WT-GA RBFN), WT-GA RBFNines the advantages of whichet transform and geneticombinesthe.
More suggestions(19)
build a layered model
constructing a multivariate model
building a multivariate model
built a multivariate model
build a visual model
build a complex model
build a comprehensive model
build a multivariate matrix
build a third model
build a predictive model
build a parsimonious model
build a multivariate calibration
build a new model
build a multivariate outcome
build a statistical model
build a multivariate regression
build a multivariate classifier
build a detailed model
build a multivariable model
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