Exact(3)
This last study concludes that the two noncoding SNPs, rs35391 and rs28777, are in LD with each other and are not significant melanoma risk predictors in a multivariate logistic regression models after adjusting for rs16891982 (p.F374L).
A multivariate logistic regression models were applied to the determination of the SSOH risk factors, adjusting for potential confounders.
From univariate analyses, variable with a P-value <0.05 were analysed in a multivariate logistic regression models to identify independent risk factors.
Similar(57)
Risk factors were evaluated by a multivariate logistic regression model.
A multivariate logistic regression model indicated that combinations of criteria significantly improve the prediction of endometritis.
The overall IEQ acceptance is calculated from a multivariate logistic regression model.
Variables with P values less than 0.05 in univariate analysis were then evaluated in a multivariate logistic regression model.
Then, we performed a multivariate logistic regression model to identify independent risk factors for ESBL-PE infection.
Additionally, all variables that were univariately associated with unscheduled return at ≤0.05 were entered into a multivariate logistic regression model.
Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by a multivariate logistic regression model.
Next we built a multivariate logistic regression model using manual forward selection.
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