A comparison of the effectiveness of cognitive behavioural interventions based on delivery features for elevated symptoms of depression in adolescents: A systematic review
Author
Abstract
Suggested Citation
DOI: 10.1002/cl2.1376
Download full text from publisher
References listed on IDEAS
- Lu, Guobing & Ades, A.E., 2006. "Assessing Evidence Inconsistency in Mixed Treatment Comparisons," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 447-459, June.
- Georgia Salanti & Cinzia Del Giovane & Anna Chaimani & Deborah M Caldwell & Julian P T Higgins, 2014. "Evaluating the Quality of Evidence from a Network Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-14, July.
- Gretchen J. Bjornstad & Shreya Sonthalia & Benjamin Rouse & Luke Timmons & Laura Whybra & Nick Axford, 2020. "PROTOCOL: A comparison of the effectiveness of cognitive behavioural interventions based on delivery features for elevated symptoms of depression in adolescents," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(1), March.
- Anna Chaimani & Georgia Salanti, 2015. "Visualizing assumptions and results in network meta-analysis: The network graphs package," Stata Journal, StataCorp LP, vol. 15(4), pages 905-950, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chunhu Shi & Jo C Dumville & Nicky Cullum, 2018. "Support surfaces for pressure ulcer prevention: A network meta-analysis," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-29, February.
- Gretchen J. Bjornstad & Shreya Sonthalia & Benjamin Rouse & Luke Timmons & Laura Whybra & Nick Axford, 2020. "PROTOCOL: A comparison of the effectiveness of cognitive behavioural interventions based on delivery features for elevated symptoms of depression in adolescents," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(1), March.
- Chao Zhang & Jiancheng Guan, 2017. "How to identify metaknowledge trends and features in a certain research field? Evidences from innovation and entrepreneurial ecosystem," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1177-1197, November.
- David M. Phillippo & Sofia Dias & A. E. Ades & Mark Belger & Alan Brnabic & Alexander Schacht & Daniel Saure & Zbigniew Kadziola & Nicky J. Welton, 2020. "Multilevel network meta‐regression for population‐adjusted treatment comparisons," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1189-1210, June.
- Dan Jackson & Sylwia Bujkiewicz & Martin Law & Richard D. Riley & Ian R. White, 2018. "A matrix†based method of moments for fitting multivariate network meta†analysis models with multiple outcomes and random inconsistency effects," Biometrics, The International Biometric Society, vol. 74(2), pages 548-556, June.
- Cho-Hao Lee & Po-Huang Chen & Chin Lin & Chieh-Yung Wang & Ching-Liang Ho, 2020. "A network meta-analysis of maintenance therapy in chronic lymphocytic leukemia," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-18, January.
- Giammarco Alderotti & Daniele Vignoli & Michela Baccini & Anna Matysiak, 2019. "Employment Uncertainty and Fertility: A Network Meta-Analysis of European Research Findings," Econometrics Working Papers Archive 2019_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Pepijn Vemer & Maiwenn J Al & Mark Oppe & Maureen P M H Rutten-van Mölken, 2017. "Mix and match. A simulation study on the impact of mixed-treatment comparison methods on health-economic outcomes," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-20, February.
- Dong Hyuk Kang & Kang Su Cho & Won Sik Ham & Hyungmin Lee & Jong Kyou Kwon & Young Deuk Choi & Joo Yong Lee, 2016. "Comparison of High, Intermediate, and Low Frequency Shock Wave Lithotripsy for Urinary Tract Stone Disease: Systematic Review and Network Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-22, July.
- Cho Naing & Maxine A Whittaker & Norah Htet Htet & Saint Nway Aye & Joon Wah Mak, 2019. "Efficacy of antimalarial drugs for treatment of uncomplicated falciparum malaria in Asian region: A network meta-analysis," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
- Jing Zhang & Yiping Yuan & Haitao Chu, 2016. "The Impact of Excluding Trials from Network Meta-Analyses – An Empirical Study," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-17, December.
- J.Jaime Caro & K. Ishak, 2010. "No Head-to-Head Trial? Simulate the Missing Arms," PharmacoEconomics, Springer, vol. 28(10), pages 957-967, October.
- van Valkenhoef, Gert & de Brock, E.O. & Hillege, Hans & Zhao, Jing, 2012. "Addis," Research Report 12007-Other, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Loukia M. Spineli, 2022. "A Revised Framework to Evaluate the Consistency Assumption Globally in a Network of Interventions," Medical Decision Making, , vol. 42(5), pages 637-648, July.
- Tamara Kerber Tedesco & Thais Gimenez & Isabela Floriano & Anelise Fernandes Montagner & Lucila Basto Camargo & Ana Flávia Bissoto Calvo & Susana Morimoto & Daniela Prócida Raggio, 2018. "Scientific evidence for the management of dentin caries lesions in pediatric dentistry: A systematic review and network meta-analysis," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.
- David Lunn & Jessica Barrett & Michael Sweeting & Simon Thompson, 2013. "Fully Bayesian hierarchical modelling in two stages, with application to meta-analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(4), pages 551-572, August.
- David M. Phillippo & Sofia Dias & A. E. Ades & Vanessa Didelez & Nicky J. Welton, 2018. "Sensitivity of treatment recommendations to bias in network meta‐analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(3), pages 843-867, June.
- Stefanie Reken & Sibylle Sturtz & Corinna Kiefer & Yvonne-Beatrice Böhler & Beate Wieseler, 2016. "Assumptions of Mixed Treatment Comparisons in Health Technology Assessments - Challenges and Possible Steps for Practical Application," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-16, August.
- Fernanda S Tonin & Helena H Borba & Antonio M Mendes & Astrid Wiens & Fernando Fernandez-Llimos & Roberto Pontarolo, 2019. "Description of network meta-analysis geometry: A metrics design study," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-14, February.
- Hillege, Hans & Brock, Bert de & Valkenhoef, Gert van & Zhao, Jing, 2012. "ADDIS: an automated way to do network meta-analysis," Research Report 12007-0ther, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:camsys:v:20:y:2024:i:1:n:e1376. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1891-1803 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.