S
Sofia Dias
Researcher at University of York
Publications - 161
Citations - 11505
Sofia Dias is an academic researcher from University of York. The author has contributed to research in topics: Randomized controlled trial & Clinical trial. The author has an hindex of 42, co-authored 145 publications receiving 9000 citations. Previous affiliations of Sofia Dias include University of Manchester & University of Bristol.
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Checking consistency in mixed treatment comparison meta-analysis.
TL;DR: A hierarchical Bayesian approach to MTC implemented using WinBUGS and R is taken and it is shown that both methods are useful in identifying potential inconsistencies in different types of network and that they illustrate how the direct and indirect evidence combine to produce the posterior MTC estimates of relative treatment effects.
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Evidence synthesis for decision making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials.
TL;DR: Use of the generalized linear model framework allows us to present a unified account of how models can be compared using the deviance information criterion and how goodness of fit can be assessed using the residual deviance.
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Consolidated standards of reporting trials (CONSORT) and the completeness of reporting of randomised controlled trials (RCTs) published in medical journals.
Lucy Turner,Larissa Shamseer,Douglas G. Altman,Laura Weeks,Jodi Peters,Thilo Kober,Sofia Dias,Kenneth F. Schulz,Amy C Plint,David Moher +9 more
TL;DR: This review updates the earlier systematic review assessing whether journal endorsement of the 1996 and 2001 CONSORT checklists influences the completeness of reporting of RCTs published in medical journals.
NICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials
TL;DR: This DSU series of Technical Support Documents (TSDs) is intended to complement the Methods Guide by providing detailed information on how to implement specific methods by providing clear recommendations on the implementation of methods and reporting standards where it is appropriate to do so.
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Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials.
TL;DR: An approach to assessing consistency in 3-treatment triangular networks and in larger circuit structures is set out, its extension to certain special structures in which independent tests for inconsistencies can be created, and methods suitable for more complex networks are described.