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Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Prof Toshi A Furukawa, Aya Suganuma, Edoardo GO stinelli, Prof Gerhard Andersson, Prof Christopher G Beevers, Jason Shumake, Prof Thomas Berger, Florien Willemijn Boele, Claudia Buntrock, Prof Per Carlbring, Isabella Choi, Prof Helen Christensen, Prof Andrew Mackinnon, Jennifer Dahne, Marcus J H Huibers, Prof David D Ebert, Louise Farrer, Nicholas R Forand, Prof Daniel R Strunk, Iony D Ezawa, Erik Forsell, Prof Viktor Kaldo, Anna Geraedts, Prof Simon Gilbody, D Philu, Elizabeth Littlewood, Sa...     »
Titel:
Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data
Zeitschriftentitel:
The Lancet Psychiatry
Jahr:
2021
Jahr / Monat:
2021-06
Sprache:
en
Volltext / DOI:
doi:https://doi.org/10.1016/S2215-0366(21)00077-8
WWW:
https://www.sciencedirect.com/science/article/abs/pii/S2215036621000778
Verlag / Institution:
Elsevier
Print-ISSN:
2215-0374
Impact Factor:
26.481
Scimago-Quartil:
Q1
Semester:
SS 21
TUM Einrichtung:
Psychology & Digital Mental Health Care
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