S. Dias
Statistics and Probability · Medical decision making · 2010–2016
A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 108 citations into it; #3,831 of 12,932 by trust here, #2,477 by citations
- Economics and Econometrics — 30 citations into it
- General Health Professions — 21 citations into it
- Public Health, Environmental and Occupational Health — 20 citations into it
- Artificial Intelligence — 13 citations into it
- Surgery — 8 citations into it; #211 of 1,106 by trust here, #536 by citations
Whom S. Dias trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guobing Lu
- David J. Spiegelhalter
- Thomas Lumley
- Julian P. T. Higgins
- A. Ades
- J. Deeks
- W. Viechtbauer
- N. G. Best
- Eric R. Ziegel
- Rebecca M. Turner
Who trusts S. Dias overall
- Georgia Salanti
- Gerta Rücker
- G. van Valkenhoef
- Ian R. White
- B. Neupane
- O. Efthimiou
- N. Welton
- Murray B. Stein
- U. Krahn
- A. Sutton
Papers from S. Dias's perspective
Ordered by how strongly the researchers S. Dias trusts endorse each paper. Same corpus, a different order for every researcher.
- How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
- Bayesian measures of model complexity and fit
- Advanced methods in meta‐analysis: multivariate approach and meta‐regression (Statistics in Medicine)
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Generalized Linear Models
- BAYESIAN THEORY
- Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (International Journal of Epidemiology)
- Statistical Methods for Meta‐Analysis
- Bias modelling in evidence synthesis (Journal of the Royal Statistical Society. Series A,)
- Issues in the selection of a summary statistic for meta‐analysis of clinical trials with binary outcomes (Statistics in Medicine)
Their papers
- Checking consistency in mixed treatment comparison meta‐analysis (2010) — 2,234 citations
- Evidence Synthesis for Decision Making 2 (2013) — 1,122 citations
- Consolidated standards of reporting trials (CONSORT) and the completeness of reporting of randomised controlled trials (RCTs) published in medical journals. (2012) — 754 citations
- NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submissions to NICE (2016) — 330 citations
- Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis (2015) — 595 citations
- Evidence Synthesis for Decision Making 4 (2013) — 360 citations
- NICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials (2011) — 679 citations