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We utilized a stepwise regression method, called LASSO, to generate a predicative model of proliferative nephritis based on multiple clinical and experimental variables (Fig. 5a and Figure S2 in Additional file 1).
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In that study anemia was significantly associated with only 0.022 unadjusted and 0.006 lower adjusted MDS-HSI score vs. the significantly lower scores of 0.024 (unadjusted) and 0.034 (adjusted) that we found in the current study of a pool of U.S. nursing homes and utilizing a stepwise regression model.
Multivariate analysis defining factors associated with survival utilized a stepwise Cox's proportional hazard regression model.
We then utilized a stepwise approach by creating two separate initial logistic regression models for HSV-2 and syphilis which included either sociodemographic or risk variables significant at the p < 0.05 level from bivariate analyses.
To arrive at the most parsimonious model, we utilized a stepwise backward elimination approach.
A stepwise regression analysis was conducted.
The explained variance is assessed by a stepwise regression analysis.
Note that linear regression models are estimated based on a stepwise regression method.
This method combines a genetic algorithm (GA) with a stepwise regression [13].
It combines the Genetic Algorithms (GA) [60, 61] concepts and a stepwise regression [62].
We applied a stepwise regression model with forward selection of explanatory variables.
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