2023
DOI: 10.31219/osf.io/p6ekv
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When Average Isn't Enough: Identifying Meaningful Subgroups in Clinical Data

Abstract: Background: Clinical data are usually analyzed with the assumption that knowledge gathered from group averages applies to the individual. Doing so potentially obscures patients with meaningfully different trajectories of therapeutic change. Needed are “idionomic” methods that first examine idiographic patterns before nomothetic generalizations are made. The objective of this paper is to test whether such an idionomic method leads to different clinical conclusions.Methods: 51 patients completed weekly process m… Show more

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