Open AccessLatent class cluster analysis of symptom ratings identifies distinct subgroups within the clinical high risk for psychosis syndrome
Author(s) -
A.T. Ryan,
J. Addington,
C.E. Bearden,
K.S. Cadenhead,
B.A. Cornblatt,
D.H. Mathalon,
T.H. McGlashan,
D.O. Perkins,
L.J. Seidman,
M.T. Tsuang,
S.W. Woods,
T.D. Can,
E.F. Walker
Publication year - 2018
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/dmec-ky12
Subject(s) - latent class model , psychosis , cluster (spacecraft) , class (philosophy) , psychology , clinical psychology , psychiatry , statistics , mathematics , computer science , artificial intelligence , programming language
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