Your English writing platform
Discover LudwigExact(3)
The range of variance was estimated by calculating ratios of SD to fold change.
When, in addition, the range of variance is large and k=16, the simulated power of the test is 0.55.
The range of variance inflation factors was from 1 to 3.21 which indicated absence of multi-collinearity and the proportional hazard.
Similar(57)
The results depend on the range of variances.
This difference decreases when the range of variances is small.
Reducing the range of variances in the latter situation (v=0.5,1.0,2.0), the power is only 0.22.
The range of variances is obviously an important factor influencing the significance level of the test.
When the range of variances is small (v=0.5,1.0,2.0), the significance level is approximately 0.04.
When the range of variances is large, the attained significance levels are roughly half the nominal, i.e., about 0.05.
In cases where the range of variances is small, the attained significance level is close to the nominal value for the Begg and Mazumdar test.
The range of variances, which is inversely related to the spread of sample sizes, also has a substantial impact on the power.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com