G. van Valkenhoef
Statistics and Probability · 2012–2016
A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 70 citations into it; #12,113 of 12,932 by trust here, #5,857 by citations
- Economics and Econometrics — 17 citations into it
- Molecular Biology — 10 citations into it
- Artificial Intelligence — 9 citations into it
- Experimental and Cognitive Psychology — 9 citations into it
- Surgery — 7 citations into it
- General Health Professions — 5 citations into it
Whom G. van Valkenhoef trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guobing Lu
- A. Ades
- David J. Spiegelhalter
- David J. Lunn
- S. Dias
- Ian R. White
- Julian P. T. Higgins
- Georgia Salanti
- Thomas Lumley
- Jeroen P. Jansen
Who trusts G. van Valkenhoef overall
Papers from G. van Valkenhoef's perspective
Ordered by how strongly the researchers G. van Valkenhoef trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian measures of model complexity and fit
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
- Advanced methods in meta‐analysis: multivariate approach and meta‐regression (Statistics in Medicine)
- Assessing Evidence Inconsistency in Mixed Treatment Comparisons
- Simultaneous comparison of multiple treatments: combining direct and indirect evidence (British medical journal)
- Checking consistency in mixed treatment comparison meta‐analysis (Statistics in Medicine)
- Indirect comparisons of competing interventions. (Health Technology Assessment)
- Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression (Research Synthesis Methods)
- Bias modelling in evidence synthesis (Journal of the Royal Statistical Society. Series A,)
Their papers
- Automating network meta‐analysis (2012) — 719 citations
- Get real in individual participant data (IPD) meta‐analysis: a review of the methodology (2015) — 307 citations
- GetReal in network meta‐analysis: a review of the methodology (2016) — 337 citations
- Evaluation of CADD Scores in Curated Mismatch Repair Gene Variants Yields a Model for Clinical Validation and Prioritization (2015) — 43 citations
- Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis (2015) — 595 citations