“…Dichotomizing a continuous or scaled variable causes several important problems. The definition of a cutpoint implies a threshold effect with loss of information, thus lowering efficiency, reliability, and test power, and increasing type I and type II errors [4][5][6][7][8][9][10]. The so-called optimal cutpoint method by maximizing a measure of difference, as used by Maggard et al [1], may lead to spuriously significant results by overestimating the difference in the outcome variable between the groups.…”