2024
DOI: 10.1007/s10608-023-10453-x
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When Average Isn't Good Enough: Identifying Meaningful Subgroups in Clinical Data

Andrew T. Gloster,
Matthias Nadler,
Victoria Block
et al.

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. Method… Show more

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