Publications and conference presentations
Jones HE, Gatsonsis CA, Trikalinos TA, Welton NJ, Ades AE. Quantifying how diagnostic test accuracy depends on threshold in a meta-analysis. Statistics in Medicine. 2019. 38:4789-4803. doi: 10.1002/sim.8301
Pedder H, Dias S, Bennetts M, Boucher M, Welton N. Modelling time-course relationships with multiple treatments: Model-Based Network Meta-Analysis for continuous summary outcomes. Research Synthesis Methods. 2019. 10: 267-286. https://onlinelibrary.wiley.com/doi/abs/10.1002/jrsm.1351
Phillippo DM, Dias S, Welton NJ, Caldwell DM, Taske N, Ades AE. Confidence in recommendations based on Network Meta-Analysis: threshold analysis as an alternative to GRADE NMA in guideline development. Annals of Internal Medicine 2019. 170: 538-546. DOI: 10.7326/M18-3542
Donegan S, Dias S, Welton NJ. Assessing the consistency assumptions underlying network meta-regression using aggregate data. Research Synthesis Methods. 2019. 10:207-224. DOI: 10.1002/jrsm.1327
Donegan S, Dias S, Tudur-Smith C, Marinho Valeria, Welton N. Graphs of study contributions and covariate distributions for network meta-regression. Research Synthesis Methods. 2018. 9:243-260. 10.1002/jrsm.1292
Phillippo DM, Dias S, Ades AE, Didelez V, Welton NJ. Sensitivity of treatment recommendations to bias in network meta-analysis. JRSSA. 2018. 181:843-867. https://doi.org/10.1111/rssa.12341 The accompanying R package nmathresh is available on CRAN.
Dias S, Ades AE, Welton NJ, Jansen JP, Sutton AJ. Network Meta-analysis for Comparative Effectiveness Research. Wiley. Hoboken NJ. 2018.
Donegan S, Welton NJ, Tudur-Smith C, D'Alessandro U, Dias S. Network meta-analysis including treatment by covariate interactions: consistency can vary across covariate values. Research Synthesis Methods. 8:485-495. 2017 10.1002/jrsm.1257
Caldwell, D., Ades, A. E., Dias, S., Watkins, S. & Welton, N. Threshold analysis can assess the credibility of conclusions from network meta-analysis. Journal of Clinical Epidemiology. 2016. 80:68-76. DOI: http://dx.doi.org/10.1016/j.jclinepi.2016.07.003
Caldwell DM, Welton NJ. Approaches for synthesising complex mental-health interventions in meta-analysis. Evidence Based Mental Health. 2016. 19:16-21. doi: 10.1136/eb-2015-102275
Caldwell DM, Dias S, Welton NJ. Extending treatment networks in Health Technology Assessment: how far should we go? Value in Health, 2015. 18 (5): 673-681. doi: 10.1016/j.jval.2015.03.1792
Daly C, Maconachie R, Ades AE, Welton NJ. A non-parametric approach for combining evidence on restricted mean progression free and overall survival time in the presence of non-proportional hazards. Statistical Analysis of Multi-outcome Data (SAM). 6-7th June 2019. Manchester, UK.
Daly C, Maconachie R, Ades AE, Welton NJ. A non-parametric approach for combining evidence on restricted mean progression free and overall survival time in the presence of non-proportional hazards. Health Economics Study Group, University of East Anglia, 3rd-5th July 2019. Discussed paper.
Pedder H, Boucher M, Dias S, Bennetts M, Welton N. Model-based Network Meta-Analysis of Time-Course Relationships for Continuous Outcomes: An illustrative application and simulation study. 40th Annual Conference of the International Society for Clinical Biostatistics. Leuven, Belgium. 14th-18th July 2019. Oral presentation.
Phillippo DM, Dias S, Welton NJ, Taske N, Naidoo B, Ades AE. Sensitivity of treatment decisions to bias adjustment in Network Meta-Analysis. Cochrane Colloquium 16-18 Sept 2018, Edinburgh. Oral presentation.
Dias S, Welton NJ, Phillippo DM. An introduction to network meta-analysis for decision making. Guidelines International Network (G-I-N) 14th annual conference, Manchester 11th – 14th Sept 2018. Workshop
Phillippo DM, Dias S, Welton NJ, Caldwell DM, Taske N, Ades AE. Confidence in recommendations based on Network Meta-Analysis: threshold analysis as an alternative to GRADE. Guidelines International Network (G-I-N) 14th annual conference, Manchester 11th – 14th Sept 2018. Oral presentation
Pedder H, Bennetts M, Dias S, Boucher M, Welton NJ. Model-Based Network Meta-Analysis: A Union of Two Methodologies. BAYES 2018: Bayesian Biostatistics Workshop, 20-22 June 2018. Oral presentation.
Keeney, E, Dias, S & Dawoud, D, 2017, ‘Different Methods for Modelling Severe Hypoglycaemic Events: Implications for Effectiveness and Cost-Effectiveness Analyses’. in: Value in Health., pp. A408. Keeney E - ISPOR presentation 2017 (PDF, 393kB)
Phillippo D, et al "Sensitivity of treatment decisions to bias adjustment in network meta-analysis (PDF, 2,962kB)" Oral presentation at the 16th Biennial European Conference of the Society for Medical Decision Making, London, UK June 12 - June 14, 2016.