Percentage conversions as a method of enhancing clinical discriminations

In clinical research, test data are often encountered where groups differ in terms of total number of responses. When this occurs, conversion of component scores into percentages of R for each individual is recommended before multivariate clustering techniques are applied. An illustration of increased prediction resulting from percentage conversions is presented and other advantages of this approach are discussed.