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No formal predictor variable selection procedures, nor models with predictor variable product-interactions were employed.
To determine if activation of transgene expression by RU486 had different effects in different genotypes, we use used Cox proportional hazard models with predictor variables that included genotype, RU486 treatment, and genotype-by-treatment interaction.
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Multiple stepwise regression analysis converged the best-fit models with predictors from meteorological conditions and the proximity to specific point, area, and mobile sources on the residential outdoor VOC concentrations.
Regression models with predictors such as those in equation 2 are sometimes referred to as geoadditive models.
Diagnostic models with predictors that cannot easily be obtained in primary care were excluded from the main analyses.
Thereafter, we review the development of GLM-based algorithms to fit models with predictors in the residual variance.
Hierarchical logistic regression models with predictors added one at a time were also examined to evaluate possible collinearity among the predictors.
Hierarchical logistic regression models with predictors added one at a time were also examined to evaluate the possible collinearity among the predictors.
One important practical aspect, when making use of IRT models with predictors, is to check quadrature point approximation used in the random-effects estimator.
Let (reg) be a regression model with predictor variables (v_{1}, v_{i}, ldots, v_{n}).
However, baseline PAEE accounted for most of the variance in each model, with predictor variables typically adding less than 1% to the explained variance.
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