Sentence examples for and the same random from inspiring English sources

Exact(5)

This means that a certain random fraction from the test kinase and the same random fraction from the test inhibitor is put into the training set.

Participants were assigned to conditions in a fixed random order (see preregistration), and the same random order was used for both the trainee sample and the experienced officer sample.

A total of 1,000 individuals were simulated and the same random number generation seed was used for repeated simulations, yielding the same set of individuals for each simulation, allowing for a direct comparison of clearance predictions between individuals in simulations with varying parameter values.

For example, if a beta GLMM is used to estimate treatment effects on HRQL in clinical trials, the respective treatment arm coefficient is interpreted as the difference in outcomes between two individuals with the same covariate values and the same random effects b i, differing only in their treatment arm.

In each of the 50 simulated data sets, we calculated the percentage of masked sites that were polymorphic in the imputed sample using the maximum-PD panel, the minimum-ADCL panel, the diploid PD panel, the diploid ADCL panel, and the same random panel used to assess the number of polymorphic sites within the reference panels.

Similar(55)

We generate all noise effects by MATLAB built-in function imnoise(Bl,'salt & pepper',level) with "Bl" the blurred image and fix the same random matrix for different methods.

In case of twin birth, both the siblings were enrolled in the same cohort and received the same random treatment assignment.

Removing sequences that truncated at the same nucleotide in the genome and shared the same random barcode eliminated PCR amplification artefacts.

Second, we fitted models with covariates to the data including all the predictors as fixed variables and retaining the same random component as in the null model.

The significance of the effects was assessed by comparing the described model with and without each fixed effect using chi-squared tests on differences in deviance; all models were fitted using unrestricted maximum likelihood estimation (method = ML) and keeping the same random effects, as suggested by Crawley (2007).

This is because not all the newly generated packets will trigger a new random access attempt, but rather, they may be aggregated and delivered with the same random access process.

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