Sentence examples for backward stepwise regression with from inspiring English sources
A backward stepwise regression with a p = 0.05 in univariate analysis as the inclusion criterion was used.
We chose parameters in the model by using backward stepwise regression with a significance cut-off of 0.05.
In addition, backward stepwise regression with F-value at the same condition was performed using three small sets of variables based on derived scores.
Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) for OS using backward stepwise regression with P=0.2 as the model entry criteria.
For multivariate analysis, backward stepwise regression with casewise deletion was used to determine those variables significantly contributing to each of the respective toxicity outcomes.
The parameter settings for CIM were model 6, forward and backward stepwise regression with threshold of p < 0.01 to select cofactors, window size 10 cM and 2 cM walking speed along chromosomes.
A forward-backward stepwise regression with five controlling markers controlled the background from flanking markers.
The backward stepwise regression procedure, with a p value of 0.05 for backward-selection, was used to obtain the final models for the logistic regression analysis.
In each of 1500 bootstrap samples we used backward stepwise regression, starting with all variables in the model, which selected indicators for a more parsimonious model with good predictive performance.
Separate multivariate backward stepwise regression analyses with further adjustment for cancer-related factors, were also carried out to explore differences in stress levels within the mother and father dyads caring for a child with cancer.
We then ran a backward stepwise regression beginning with a full model, as a means of variable selection into the final model, in which we include significant and exclude insignificant independent variables according to the inclusion and exclusion criteria set at significance levels of 5%and10%0%, respectively.
