A Joint Latent Class Modelling Approach for the Prediction of Psychosis by Basic Symptom and Ultra-high Risk Criteria

Schmidt, Stefanie Julia; Ruhrmann, Stephan; Schimmelmann, Benno Karl Edgar; Klosterkötter, Joachim; Schultze-Lutter, Frauke (April 2014). A Joint Latent Class Modelling Approach for the Prediction of Psychosis by Basic Symptom and Ultra-high Risk Criteria. Schizophrenia Research, 153, pp. 147-148. Elsevier

Item Type:

Conference or Workshop Item (Poster)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy > Research Division
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy

UniBE Contributor:

Schmidt, Stefanie Julia, Schimmelmann, Benno Karl Edgar, Schultze-Lutter, Frauke

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0920-9964

Publisher:

Elsevier

Language:

English

Submitter:

Nicole Jansen

Date Deposited:

24 Sep 2014 07:43

Last Modified:

05 Dec 2022 14:34

URI:

https://boris.unibe.ch/id/eprint/52430

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