The empirical power for different sample sizes under nominal significance level 0.05 based on 10,000 replications.</p
<p>Comparison of the empirical power for the top 3 methods for two-sided tests.</p
<p>Power calculation as a function of number of sequence reads and sample size for the comparison of...
Table values show the chance of finding a statistically significant between group effect as a functi...
The empirical power for different sample sizes under nominal significance level 0.05 based on 10,000...
The empirical power for different sample sizes under remaining 8 common non-normal distributions at ...
The empirical power for scenarios (i)—(v) under nominal significance level 0.05 based on 10,000 repl...
The empirical type I error rates of eight tests for different sample sizes under nominal significanc...
[Nominal significance level α = 0.05; target power = 80%; equivalence margin ].</p
We compare the sample size requirements for significance tests and confidence intervals by calculati...
<p>This figure shows the power of a study with two independent groups as a function of sample size f...
<p>Empirical powers for six estimation procedures in different combinations of simulation parameters...
<p>Empirical sizes for six estimation procedures in different combinations of simulation parameters....
<p>The replication efficiencies obtained for different data sets used in the study.</p
In (A), sample size is calculated to detect the mean of the true effect sizes above the minimum of i...
Statistical power is the ability to detect a significant effect, given that the effect actually exis...
<p>Comparison of the empirical power for the top 3 methods for two-sided tests.</p
<p>Power calculation as a function of number of sequence reads and sample size for the comparison of...
Table values show the chance of finding a statistically significant between group effect as a functi...
The empirical power for different sample sizes under nominal significance level 0.05 based on 10,000...
The empirical power for different sample sizes under remaining 8 common non-normal distributions at ...
The empirical power for scenarios (i)—(v) under nominal significance level 0.05 based on 10,000 repl...
The empirical type I error rates of eight tests for different sample sizes under nominal significanc...
[Nominal significance level α = 0.05; target power = 80%; equivalence margin ].</p
We compare the sample size requirements for significance tests and confidence intervals by calculati...
<p>This figure shows the power of a study with two independent groups as a function of sample size f...
<p>Empirical powers for six estimation procedures in different combinations of simulation parameters...
<p>Empirical sizes for six estimation procedures in different combinations of simulation parameters....
<p>The replication efficiencies obtained for different data sets used in the study.</p
In (A), sample size is calculated to detect the mean of the true effect sizes above the minimum of i...
Statistical power is the ability to detect a significant effect, given that the effect actually exis...
<p>Comparison of the empirical power for the top 3 methods for two-sided tests.</p
<p>Power calculation as a function of number of sequence reads and sample size for the comparison of...
Table values show the chance of finding a statistically significant between group effect as a functi...
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