Sentence examples for correction of variance from inspiring English sources

To account for the case-cohort design, correction of variance estimation was performed (13).

All the analyses included the expansion of data by sample weight, and correction of the variance by the sampling design used.

a Eigenvalue with Benzécri correction b Percentage of variance with Benzécri correction c Cumulated % of variance with Benzécri correction HAC was then performed on the case-coordinates derived from the first five axes of the MCA.

The Greenhouse Geisser correction for inequality of variance was applied where appropriate (data are reported with corrected p values).

Greenhouse-Geisser correction for inhomogeneity of variance was applied for all repeated measures where the degree of freedom in the numerator was greater than one [48].

Differentially expressed genes were identified based on 2-fold up- or down changes and significance at FDR of 0.001 (Benjamini and Hochberg FDR multiple test correction) using analysis of variance (ANOVA).

When the variances across groups were not equal (Levene's test p < 0.05), Welch correction for nonhomogeneity of variance was applied.

This was accomplished using two-sample unpaired t-test for continuous variables after correction for equality of variance (Levene's test), χ2 test, or Fisher's exact test for categorical variables.

Univariate analysis of variables from the entire population was performed using unpaired student's t-test for parametric continuous variables after correction for equality of variance (Levene's test), U Mann-Whitney test for non parametric continuous variables, and Pearson's chi-square test or Fisher's exact test for categorical variables.

* P < 0.05 versus basal; ** P < 0.01 versus basal; † P < 0.05 versus hypoxic hypoxia; †† P < 0.01 versus hypoxic hypoxia; ‡ P< 0.05 versus ischemic hypoxia; ‡‡ P < 0.01 versus ischemic hypoxia; § P < 0.05 versus ischemic and hypoxic hypoxia; §§ P < 0.01 versus ischemic and hypoxic hypoxia (paired or unpaired t-tests with Bonferroni correction, after analysis of variance < 0.05).

In the case of a severe imbalance, our simulations confirmed that the minimum variance weights correction of the variation inflaction factor (VIF) used in the sample size calculations has the best properties.