Sentence examples for improved power compared from inspiring English sources

Simulation studies show that the proposed test has improved power compared to two popular methods, EIGENSTRAT and FBAT, by analyzing the combined data, while correcting for population stratification.

ANOVA has performance comparable to the t-test which is interesting: under the same variance between the two groups, tests that make the corresponding homoscedastic assumption (ANOVA) do not show improved power compared to heteroscedastic ones (Welch t-test).

The current individual patient meta-analysis, based on the only two double blind randomised placebo controlled trials published to date, refutes these arguments on duration and severity of pain by providing improved power compared with the individual trials.

Given the most common correlation structure, taking four baselines and seven follow-up measures dramatically improves power compared to a single baseline and follow-up; where no baseline is taken, four follow-up measures importantly improves power; however, the marginal value of including additional measures rapidly diminishes.

Based on the rankings of known true positives and power by intensity we see that the combined p method offers slightly improved power as compared to the median t method for the Golden Spike and Gene Logic Tonsil datasets.

In untreated breast cancer cohorts, the 23 gene signature-based ER status provided significantly improved prognostic power compared to IHC-based ER status (P = 0.006).

Combining individuals of both sexes somewhat improved the power compared to the female group only.

The adjusted SOFA score showed significantly improved discriminative power compared to the original SOFA score (AUC 0.79 versus 0.73, ∆AUC 0.06, P = 0.018).

Notably, the integrated models resulted in statistically significantly improved predictive power compared to the base model (one-sided Wilcoxon signed rank test, TNM stage + tumor necrosis + ANC: P < 7.5 × 10−4; TNM stage + tumor necrosis + NLR: P < 2.5 × 10−3; TNM stage + tumor necrosis + NLR: P < 5.3 × 10−6).

In addition, GPNN had improved power and predictive ability compared to a NN when applied to data containing both functional and non-functional SNPs.

We have described the use of a random covariate, SRC B/ SRC W, to achieve correct testing results for training cohort data and moderately improve power as compared to the use of SC B/ SC W. Simulation study shows that our proposed method performs consistently better than SC B/ SC W, because the quadratic term utilized in the SRC B/ SRC W method takes into account error in the compound covariate.