Discover the Latest in Biomedical Research Innovation

Choosing between Welch's t-test, data transformation, and non-parametric tests like Mann-Whitney U is a critical decision that affects your p-values and publication chances. While standard t-tests often fail due to unequal variances, blindly switching to non-parametric tests can kill your statistical power. This guide simplifies the decision process, explaining why Welch's t-test should be your default and when to truly embrace ranking methods.

Are you planning a pre-clinical study but struggling with the statistics? Determining the correct sample size is the single most critical step to ensure your biomedical research is ethical, economic, and publishable. In this detailed guide, we break down how to use G*Power, the industry-standard free software. From understanding Alpha and Beta errors to a step-by-step tutorial on t-tests for drug efficacy, we provide everything you need to justify your sample size in your nex