Sentence examples for using a backward algorithm from inspiring English sources

A selection procedure was performed using a backward algorithm with a stopping criteria defined by p values below 0.05 for all variables included in the model.

We used a backward algorithm to simulate phylogenetic trees as implemented in the function s i m. r a t e s h i f t. t a x a from the R [ 23] package TreeSim [ 24].

Model simplification was performed using a backward stepwise algorithm.

The proposed control is implementable with actual instrumentations since all the signals in the control can be measured by sensors or calculated by using a backward difference algorithm.

A logistic regression model was built using a backward selection algorithm and SNPs nominally associated with nephropathy in our population.

Exposures were incorporated into models using a backward elimination algorithm, with covariates retained in the final model for P≤0.05 [20].

The sets of significant covariates from the univariate analysis were tested in the Cox regression proportional hazards models by using a backward selection algorithm.

Final models were developed by selecting the baseline covariates that were most predictive of the respective outcomes using a backward stepwise algorithm that used the Akaike information criterion (AIC) as the metric to retain the best, but simplest, model.

Fractional polynomials (by using a backward selection algorithm for suitable transformations as proposed by [ 27] with a family-wise error rate of 5%) were used to model the relationship between endothelial biomarkers and insulin sensitivity.

With logHOMA as the dependent variable, we fitted an ANCOVA model to test for main effects and interactions, using a backward elimination algorithm to arrive at the best model.

The socio-demographic factors selected were then all included in a second stage model in which candidate psycho-social factors (the risk factors under consideration) were added and removed using a backward elimination algorithm using a stricter 5% nominal p-value for removal.