Sentence examples for using the random model from inspiring English sources

First we examined transitions using the random model.

For two-phrase combinations, expected values were calculated using the random model.

Using the random model expected three-phrase combination frequencies were calculated as the product of the frequency of each phrase.

Since no sample size calculation is available for that approach in Generalized Estimating Equations (GEE's) so far, the sample size calculation was based on linear multiple regression using the random model that supposes both target and predictor variables as random and should thus deliver a feasible estimation of the sample size required for GEE.

A squared multiple correlation R2 of 0.21 for RNFLT plus age on BPF (Gordon-Lipkin et al., 2007) would be detected with 95% power (alpha = 0.05, two-sided, k = 3 predictors) for n = 86 patients using the random model with an exact distribution.

In this study, we preadjusted phenotypes for systematic effects by using a random effects model so that the model fitted was y i R = μ + g i + e where y i R represents precorrected phenotypes using the random model.

If heterogeneity existed, point estimates and 95% CIs were estimated using the random effect model, otherwise the fixed effect model was employed.

First, calculation that used the fixed effects model was repeated by using the random effect model.

Sensitivity analysis was performed using the random effects model rather than the fixed effects model.

Using the random forest model package (v 4.6-10 4.6-10(v 3.1.2), we created a random forest model using ouR training set data.

We pooled data using the random effect model and the RevMan software program, version 5.3 [15].