2023 Volume 31 Issue 3 Pages 173-179
The problem of statistical multiplicity and methods of multiple comparisons is one of the key issues in data analysis. From the 1950s to the present, various multiple comparison methods have been developed to compare the means of multiple groups after obtaining significant results in one-way analysis of variance. In recent years, the use of complex study designs in clinical trials has made the issue of statistical multiplicity even more important. Multiple comparison is an approach used to solve the problem of statistical multiplicity, and to enhance the scientific significance of research, it is necessary to select an appropriate multiple comparison method during the stage of research planning. This paper describes the basic concept of the problem of multiplicity and outlines the features and points to consider in representative methods of multiple comparison that are often used.
