Sentence examples for backward selection process with from inspiring English sources

Final models were chosen using a backward selection process with an exit criterion of p > 0.001.

We employed a backward selection process with a threshold p value of 0.3.

Potential covariates were selected based on univariate associations and biological plausibility and retained in final models based on a backward selection process with p < 0.20.

A backward selection process with inclusion criteria of P < 0.05 based on the F-test was used to build the final model.

For the analysis of current residents we used a backward selection process with a cutoff of 0.10 and without including duration of residence (our principal variable of interest) and created models individually for each of the six water districts to determine which covariates would be included in our final models.

For both models, a backward selection process with all potential confounders was used to reach the final multivariate model, and the i th day of stay was introduced as a discrete or a continuous variable with possibly mathematical transformation according to the minimum deviance criteria.

In an iterative backward selection process, the covariate with the highest p-value was excluded from the model unless this led to a 10% change in the estimate of the annual exacerbation rate [ 26].

These were selected in an iterative backward selection process, in which the covariate with the highest p-value was excluded until all p-values were below 0.20.

Those covariates with P > 0.2 were eliminated in a manual backward selection process.

Using a backward selection process, all these covariates were added to the initial model, but only covariates with significant independent associations themselves (p < 0.05), or which substantively modified HTLV incidence ratio, were retained in the final model.

The final model was chosen through a backward selection process.