Sentence examples for backward selection was fitted from inspiring English sources

Then a multivariate Cox regression model with backward selection was fitted to each replication of the original data set and for each ability.

Logistic regression models using backward stepwise selection were fit to the data to estimate the effect of individual and community level factors on nutrient intake.

Again, backward selection was used to select covariates.

Multivariate logistic regression with backward selection was applied, wherein variables that did not improve the model fit at P<0.05 were discarded; however, CD44 and CD24 expression as well as age were always forced into the model.

The Hosmer Lemeshow goodness-of-fit test for the model selection by AIC was χ 2 = 4.67 (p = 0.792) and for the stepwise forward and backward selection was χ 2 = 9.45 (p = 0.306), indicating adequate model fit.

The apparent AUC of the best-fit model derived from multiple logistic regression analysis with backward selection was 0.898 955% confidence interval 0.872-0.918).

Forward and backward selection was used to develop a parsimonious model.

Neither forward nor backward selection was performed.

Both forward and backward selection was used.

For multivariate analysis, linear regression with backward selection was used.

Backward selection was used to drop insignificant terms.