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To compare differences in the proportion of tumor types in each background, a two proportion z test for equal proportions was used.
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To determine the sample sizes that are needed to detect a difference between two proportions, an a priori power calculation has been conducted.
Relative risks (RR) as a ratio of two proportions with a confidence level of 95% were derived from two-by-two contingency tables.
To investigate the differences between percentages, a test comparing two proportions was used (a two-sided test for analyses without directional hypotheses).
In this scenario, the power for a test of two proportions and the power for a survival analysis are essentially the same.
In the original Greek sense, analogy involved a comparison of two proportions or relations.
The sample size calculation for the POPI trial was based on a comparison of two proportions.
This difference was statistically significant upon applying a test of two proportions (p: 0.012).
A comparison of two proportions usually reports the sample proportions and sample sizes, and of two means, the sample means, sizes and standard deviations, whether the design is unpaired or paired.
The relative incidence of cardiac cross-talk between groups A and B was compared using a Z-test for two proportions.
Using a formula for detection of difference between two proportions, a sample size of 107 cases per group was calculated using R software with Epicalc package.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com