Sentence examples for pooling error from inspiring English sources

When the overall ANOVA reached statistical significance of the interaction coefficients, planed ANOVAs were subsequently performed with pooling error terms across the entire analyses, for the purpose to examine our assumption that sleep deprivation modulates the PFC activities on the time production trial.

There are several limitations of the present study including the lack of a more detailed examination of the SNP-specific pooling error and an analysis of the impact of different numbers of pool replicates.

The level of contamination (1 infection/2 mL of control pool injected vs. 18 infections/4.87 mL of clinical pool injected) is consistent with a pooling error at the time of collection.

(B) Calculated uncertainty profiles and distributions of training pool error rates for model CYP2D6-1a (naïvotinging threshold at 16.5; red), and for model CYP2D6-1b (refined threshold at 27.5; green).

To identify differentially expressed genes, we used local pooled error testing [ 43] along with Benjamini-Hochberg multiple test correction [ 44].

I had more than one group count the same vials without their knowledge, which revealed experimenter error, allowing further discussion contrasting SEM with SD, and the intuitive logic of how to pool error into SE of the difference.

The number of flowers and number of stems were not significant variables in any initial models and therefore we used pooled error terms to test for other effects in the final models.

In many cases, the uncertainty profile can still be adequately described by a combination of just two distributions – one fitted to the training pool predictions and another fitted to the training pool errors.

MR is obtained from the overall misclassification rate (i.e., overall number of incorrect predictions divided by the total number of predictions) for the training pool, and ϵ(k) and φ(k) are estimated by fitting beta binomial distributions to the training pool errors and predictions, respectively, as functions of k.

We present a closed form approximation to the power in terms of the genetic model, pooling measurement error model, and the study parameters (e.g., number of pools, number of replicates per pool, sample size) and we perform a systematic study of the design parameters to identify which have the greatest effect on power to detect association for DNA pooling studies.

The criterion for evaluation is pooled equal error rate (EER) and average cost C avg defined by NIST.