Sentence examples for by backward stepwise procedure from inspiring English sources

Nonsignificant terms (P > 0.05) were removed from the model by backward stepwise procedure.

Multivariable models were created by a backward stepwise procedure using Egret for windows.

In all of these GLM and MANOVA analyses, the non-significant covariate terms were eliminated by a backward stepwise procedure.

The covariates included in the multivariable Cox model were selected by a backward stepwise procedure.

These variables were erased one at a time by a backward stepwise procedure, and those variables with a p-value of < 0.1 remained in the regression analysis.

Confounding variables which were significant in the bivariable analysis were forced into the model, whereas all other variables were included by using a backward stepwise procedure so that all non-significant variables would be automatically excluded.

*p < 0.001 for crude chi-square test of association between individual risk factors and aboriginal ethnicity Table 2 summarizes the results of multiple logistic regression modeling by using a backward stepwise procedure to choose the major risk factors (p value < 0.001) of abnormal biochemical liver function.

The analysis was carried out considering mood (or anxiety) disorders as dependent variable, and anti-TPO+ (presence vs absence), gender (female vs male) and age (≤ 44 vs > 44) and their second order interactions as independent variables, by means of backward stepwise procedure; interactions lacking evidence of association (p > 0.20) were eliminated from the models.

For both models, we used a backward stepwise procedure by selecting all variables associated with a p <0.20 at univariate and kept in the model all those significantly associated with the outcome (p <0.05).

The multivariate analysis was based on a logistic regression model with a conventional backward stepwise procedure validated by a forward stepwise procedure whereby variables were optimized by the Akaike information criteria, with P < 0.05.

Cox proportional hazards models were estimated by: a) forcing all factors; b) a forward stepwise procedure; and c) a backward stepwise procedure (with p = < 0.05 as selection criterion for stepwise procedures).