American Psychological Association 6th edition

Harrer, M., Ebert, D. D., Kuper, P., Paganini, S., Schlicker, S., Terhorst, Y., Reuter, B., Sander, L., & Baumeister, H. [ca. 2023]. Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: secondary analysis of two randomized controlled trials [Cd]. Freiburg: Universität. https://doi.org/10.1016/j.invent.2023.100634

ISO-690 (author-date, English)

HARRER, Mathias, EBERT, David Daniel, KUPER, Paula, PAGANINI, Sarah, SCHLICKER, Sandra, TERHORST, Yannik, REUTER, Benedikt, SANDER, Lasse und BAUMEISTER, Harald, 2023. Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: secondary analysis of two randomized controlled trials. Freiburg: Universität.

Modern Language Association 9th edition

Harrer, M., D. D. Ebert, P. Kuper, S. Paganini, S. Schlicker, Y. Terhorst, B. Reuter, L. Sander, und H. Baumeister. Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: secondary analysis of two randomized controlled trials. cd, Universität, 2023, https://doi.org/10.1016/j.invent.2023.100634.

Mohr Siebeck - Recht (Deutsch - Österreich)

Harrer, Mathias/Ebert, David Daniel/Kuper, Paula/Paganini, Sarah/Schlicker, Sandra/Terhorst, Yannik u. a.: Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: secondary analysis of two randomized controlled trials, Freiburg 2023.

Emerald - Harvard

Harrer, M., Ebert, D.D., Kuper, P., Paganini, S., Schlicker, S., Terhorst, Y., Reuter, B., Sander, L. und Baumeister, H. (2023), Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: secondary analysis of two randomized controlled trials, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1016/j.invent.2023.100634.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.