Sentence examples for for entry and p from inspiring English sources

Criteria of P < 0.05 for entry and P ≥ 0.10 for removal were imposed in this procedure.

A criterion of P <0.05 for entry and P ≥0.10 for removal was imposed in this procedure.

For the stepping method we used as criteria p < 0.05 for entry and p > 0.05 for removal.

Variables were entered into the logistic regression models using a backward stepwise procedure (criteria p < .05 for entry and p < .10 for removal).

Multiple logistic regression analysis using forward conditional modeling (P < 0.05 for entry and P > 0.10 for removal) was performed to determine independent predictors of cognitive decline.

In the first model, all variables associated with a P-value ≤0.2 on univariable analysis were evaluated using backward stepwise logistic regression (P < 0.1 for entry and P > 0.05 for removal).

Then, multivariate linear and logistic regression were performed, entering variables when the p-value of the bivariate association was ≤ 0.25, for identifying the factors that were independently associated with the different outcomes of interest and variables were selected for multivariate models with p-value < 0.2 for entry and p-value < 0.4 for exclusion.

The multivariate model was conducted using a forward stepwise (Wald chi-square) method with a p value <0.05 for entry and a p value ≥ 0.10 for removal.

The inclusion and exclusion criteria used were; p < 0.05 for model entry and p > 0.10 for output, according to Wald statistics.

The significance levels for entry and inclusion in the model were p < 0.05 and p < 0.10, respectively.

The criteria for entry and removal of variables used were p(F) < 0.05 and p(F) > 0.10 respectively [ 18].