Predicting the outcome of psychotherapy for chronic depression by person-specific symptom networks

dc.contributor.author	Hautzinger, Martin
dc.date.accessioned	2024-12-09T09:07:26Z
dc.date.available	2024-12-09T09:07:26Z
dc.date.issued	2024
dc.identifier.issn	1723-8617
dc.identifier.uri	http://hdl.handle.net/10900/159563
dc.language.iso	en	de_DE
dc.publisher	Hoboken : Wiley	de_DE
dc.relation.uri	http://dx.doi.org/10.1002/wps.21241	de_DE
dc.subject.ddc	610	de_DE
dc.title	Predicting the outcome of psychotherapy for chronic depression by person-specific symptom networks	de_DE
dc.type	Article	de_DE
utue.quellen.id	20241001000000_00040
utue.publikation.seiten	411-420	de_DE
utue.personen.roh	Schumacher, Lea
utue.personen.roh	Klein, Jan Philipp
utue.personen.roh	Hautzinger, Martin
utue.personen.roh	Haerter, Martin
utue.personen.roh	Schramm, Elisabeth
utue.personen.roh	Kriston, Levente
dcterms.isPartOf.ZSTitelID	World Psychiatry	de_DE
dcterms.isPartOf.ZS-Issue	3	de_DE
dcterms.isPartOf.ZS-Volume	23	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE