Sentence examples for multivariate stepwise backward from inspiring English sources

Variables with P values < .10 were entered into a multivariate stepwise backward model.

Predictors of in-hospital mortality were identified in a multivariate stepwise backward logistic regression model.

Cox's proportional-hazards regression was used for univariate and multivariate (stepwise backward elimination) analysis of prognostic impact of relevant variables.

Cox proportional hazards regression was used for univariate and multivariate (stepwise backward elimination) analysis of prognostic impact of relevant variables.

Considering the small simple size, Multivariate stepwise backward analyses included all variables significant at P ≤ 0.05 in Univariate analysis [ 26].

Multivariate stepwise backward analysis showed significance for the combined panel but no influence from the addition of bilirubin, albumin or serum alkaline phosphatase was observed.

Factors with p values <0.05 are included in multivariate analysis (stepwise backward logistic regression) to identify independent predictors of agitation.

To generate a preliminary multivariate model, stepwise backward- and forward-elimination of least significant variables and those with correlation values of ≥ ±0.30, respectively, was used, while eliminated variables were assessed for confounding.

Multivariate analyses using stepwise backward linear regression models were performed to find determinants of PTH.

Results are presented as both crude and adjusted odds ratios with 95% confidence intervals, using univariate and multivariate logistic regression (stepwise backward likelihood ratio method).

Significant correlates at P-values of 0.1 or less were retained for a multivariate regression model (stepwise backward) to identify independent predictive variables of training response.