The study looked at a statistical method called multivariate analysis of variance (MANOVA) in medical experiments. Researchers compared results from MANOVA with another method called univariate analysis of variance (ANOVA). They found that ANOVA could lead to different conclusions when looking at various indicators, but MANOVA could solve this issue by providing more consistent results. The researchers concluded that using MANOVA in medical experiments is better because it gives more reliable and easier-to-understand results, especially when comparing different groups.