Comparative efficacy, acceptability and cost effectiveness of pharmacological treatments for depression in adults with bipolar disorder: a network meta-analysis and modelling economic study - Research Database, The University of York

By the same authors

On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis
Röver, C., Bender, R., Dias, S., Schmid, C. H., Schmidli, H., Sturtz, S., Weber, S. & Friede, T., 15 Feb 2021
Article in Research Synthesis Methods
Characteristics modifying response to biological treatments for psoriasis: considering subgroups in network meta-analysis
Wade, R., Sharif-Hurst, S., Smith, C. & Dias, S., 5 Feb 2021
Letter in British Journal of Dermatology
Joining the Dots: Linking Disconnected Networks of Evidence Using Dose-Response, Model-Based Network Meta-analysis (MBNMA)
Pedder, H., Dias, S., Bennetts, M., Boucher, M. & Welton, N. J., 15 Jan 2021
Article in Medical Decision Making
Prophylactic antibiotics for adults with chronic obstructive pulmonary disease: a network meta‐analysis
Janjua, S., Mathioudakis, A. G., Fortescue, R., Walker, R. A. E., Sharif, S., Threapleton, C. J. D. & Dias, S., 15 Jan 2021
Article in Cochrane database of systematic reviews (Online)
Exploring Heterogeneity in Histology-Independent Technologies and the Implications for Cost-Effectiveness
Murphy, P. J., Claxton, L., Hodgson, R., Glynn, D., Beresford, L., Walton, M. J., Llewellyn, A., Palmer, S. J. & Dias, S., 13 Jan 2021
Article in Medical Decision Making

Comparative efficacy, acceptability and cost effectiveness of pharmacological treatments for depression in adults with bipolar disorder: a network meta-analysis and modelling economic study

Research output: Other contribution

Author(s)

Ifigeneia Mavranezouli
Andrea Cipriani
Sofia Dias
Richard Morriss
Sarah Stockton
Evan Mayo-Wilson
Tony Ades
Elena Marcus
Tim Kendall

Department/unit(s)

Centre for Reviews and Dissemination

Publication details

Date	Published - 1 Oct 2016
Publisher	University of York
Original language	English

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations

York staff: edit these data