New test detects hidden differences in data for more accurate results.
The researchers developed a new test to compare the variability in data from different groups, even when the groups are related or uncertain. They used a special type of regression to analyze the data and found that their test is reliable and can be used independently of another test for comparing group means. This new test can be helpful in situations where there is an interaction effect between variables, but one variable is missing. The researchers tested their method using simulations and genetic association studies.