<p>Statistical power is plotted against the PMG differences between the two comparing groups. Sigmoidal curves are simulated with different PMG, which range from within (-16.0959 and -15.0959) to outside of the measurements (-13.0959 and -11.5959), as shown in the panel columns. The error variance is either constant or changing along the curve with a linear or quadratic relationship with the values on the curve, which are shown in different panel rows. Statistical power is calculated based on the two group t test. Var, variance.</p
<p>Each line shows the power vs size for a different test statistic; the univariate tests ( and ANOV...
<p>Performance of GSEA, SPIA, and DEAP are compared as sample size changes. Power (<i>y</i>-axis) is...
This paper includes 3 tables for quick power estimates that require no computation for the most comm...
<p>Statistical power is plotted against the PMG differences between the two comparing groups. Sigmoi...
<p>Relationship between effect size, in units of (pooled) standard deviation, and statistical power,...
In (A), sample size is calculated to detect the mean of the true effect sizes above the minimum of i...
<p>Power for both the TST and WMW when there are no ties, unequal sample sizes, and continuous distr...
We have previously derived power calculation formulas for cohort studies and clinical trials using t...
<p>These curves depict the relationship between power and sample size per cluster across different e...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>Statistical power by sample size for a comparison of <i>EC<sub>50</sub></i> (geometric mean) betw...
<p>Sample size curves: Hypothesis testing method (Formula 3) at 80% power and α of 0.05 (two-tailed)...
ABSTRACT: This article presents methods for sample size and power calculations for studies involving...
<p>Power curves as a function of sample sizes under Dominant OR Dominant with two genes including ra...
<p>On the graph, + data points show the power of tests in which within-species variation was ignored...
<p>Each line shows the power vs size for a different test statistic; the univariate tests ( and ANOV...
<p>Performance of GSEA, SPIA, and DEAP are compared as sample size changes. Power (<i>y</i>-axis) is...
This paper includes 3 tables for quick power estimates that require no computation for the most comm...
<p>Statistical power is plotted against the PMG differences between the two comparing groups. Sigmoi...
<p>Relationship between effect size, in units of (pooled) standard deviation, and statistical power,...
In (A), sample size is calculated to detect the mean of the true effect sizes above the minimum of i...
<p>Power for both the TST and WMW when there are no ties, unequal sample sizes, and continuous distr...
We have previously derived power calculation formulas for cohort studies and clinical trials using t...
<p>These curves depict the relationship between power and sample size per cluster across different e...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>Statistical power by sample size for a comparison of <i>EC<sub>50</sub></i> (geometric mean) betw...
<p>Sample size curves: Hypothesis testing method (Formula 3) at 80% power and α of 0.05 (two-tailed)...
ABSTRACT: This article presents methods for sample size and power calculations for studies involving...
<p>Power curves as a function of sample sizes under Dominant OR Dominant with two genes including ra...
<p>On the graph, + data points show the power of tests in which within-species variation was ignored...
<p>Each line shows the power vs size for a different test statistic; the univariate tests ( and ANOV...
<p>Performance of GSEA, SPIA, and DEAP are compared as sample size changes. Power (<i>y</i>-axis) is...
This paper includes 3 tables for quick power estimates that require no computation for the most comm...