Latent Profile Analysis and Conversion to Psychosis: Characterizing Subgroups to Enhance Risk Prediction

Volume: 44, Issue: 2, Pages: 286 - 296
Published: Jul 14, 2017
Abstract
Groups at clinical high risk (CHR) of developing psychosis are heterogeneous, composed of individuals with different clusters of symptoms. It is likely that there exist subgroups, each associated with different symptom constellations and probabilities of conversion.Present study used latent profile analysis (LPA) to ascertain subgroups in a combined sample of CHR (n = 171) and help-seeking controls (HSCs; n = 100; PREDICT study). Indicators in...
Paper Details
Title
Latent Profile Analysis and Conversion to Psychosis: Characterizing Subgroups to Enhance Risk Prediction
Published Date
Jul 14, 2017
Volume
44
Issue
2
Pages
286 - 296
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