Sentence examples for using a backward regression from inspiring English sources

On the basis of toxicity data, empirical models were developed to predict Cu II) or Cr VI) toxicity under different physicochemical conditions studied in this work using a backward regression analysis.

We used a backward regression approach in multivariate set up to eliminate non-significant (p > 0.05) predictors from the model.

In haematological patients, we used a backward regression analysis to evaluate the influence of the transfusion indexes (RBC, HDS and HDU) and MDS on hepatic iron accumulation.

Ten covariables were further analyzed with the Cox regression model by using a backward stepwise regression method.

We developed the multivariate model using a backward stepwise regression analysis [23].

The model was optimized using a backward stepwise regression.

The results were then verified using a backward stepwise regression model.

The associations in the multivariate analysis which were statistically significant (P < 0.05) using a backward elimination regression approach were included in the final results.

We adjusted for covariates obtained from baseline data (Table 1) using a backward logistic regression model, only if the covariates were judged to be clinically relevant and if baseline values differed significantly (level 0.1) between respondents and non-respondents.

Significant relationships were further explored by using a Backward Stepwise logistic regression model.

Multivariate analyses were performed using a backward stepwise logistic regression analysis with a P value >0.10 as the removal criterion.