Sentence examples for multivariate analysis forward from inspiring English sources

In the multivariate analysis, forward stepwise and backward stepwise models were performed.

Using a cutoff of p≤.05, which corresponded to a minimum decrease of the objective function value (OFV) of 3.84 upon inclusion of each individual covariate based on the likelihood-ratio test, multivariate analysis with forward stepwise inclusion, backward stepwise deletion, and forward selection followed by backward elimination were applied to finalize the covariate model.

The variables associated with ICU mortality with a P value <0.20 were incorporated into the multivariate analysis using forward and stepwise selection procedures.

Multivariate analysis used forward likelihood binomial logistic regression model.

We performed multivariate analysis using forward stepwise Cox regression model to calculate the adjusted HRs.

Stepwise Cox proportional hazard regression was performed as multivariate analysis with forward and backward regression models.

Variables that were significant on univariate analysis at P<0.10 were included in multivariate analysis by forward stepwise manner.

We then undertook a multivariate analysis using forward stepwise linear regression to identify predictors of the proportion of hospital admissions that were emergency [ 25].

In multivariate analysis, a forward selection approach was then used to include variables from the model based on a likelihood ratio test.

Potential predictor variables were then entered into a multivariate analysis by forward stepwise logistic regression (p<0.05 for entry, p>0.10 for removal, using SPSS V.20.0; SPSS, Chicago, Illinois, USA).

Symptoms that reached a significance level of 0.05 (and had greater than five expected numbers) were considered for multivariate analysis using forward stepwise regression.