Ontology highlight
ABSTRACT:
SUBMITTER: Naggara O
PROVIDER: S-EPMC8013096 | biostudies-literature | 2011 Mar
REPOSITORIES: biostudies-literature

Naggara O O Raymond J J Guilbert F F Roy D D Weill A A Altman D G DG
AJNR. American journal of neuroradiology 20110217 3
In medical research analyses, continuous variables are often converted into categoric variables by grouping values into ≥2 categories. The simplicity achieved by creating ≥2 artificial groups has a cost: Grouping may create rather than avoid problems. In particular, dichotomization leads to a considerable loss of power and incomplete correction for confounding factors. The use of data-derived "optimal" cut-points can lead to serious bias and should at least be tested on independent observations ...[more]