Discover the Latest in Biomedical Research Innovation

Are outliers ruining your datasets? In biomedical research, distinguishing between biological variability and technical error is critical. This guide compares the traditional Grubbs’ Test against the modern ROUT method, explaining why the ROUT method's False Discovery Rate (FDR) approach is superior for detecting multiple outliers in pre-clinical data. Learn the exact protocols for GraphPad Prism and R to clean your data scientifically and avoid P-hacking.

Are your p-values valid? The Shapiro-Wilk test is the "gold standard" for checking normality in biomedical research. This guide breaks down exactly how to perform the test in GraphPad Prism, SPSS, and R, how to interpret the results (p < 0.05 vs p > 0.05), and what to do when your data "fails" the test. Don't risk a rejected manuscript—master your statistical assumptions today.