Rebecca M. Turner
Statistics and Probability · 2000–2017
A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 41 citations into it; #3,442 of 12,932 by trust here, #1,887 by citations
- Public Health, Environmental and Occupational Health — 7 citations into it; #947 of 2,368 by trust here, #992 by citations
- Artificial Intelligence — 6 citations into it
- Surgery — 6 citations into it
Whom Rebecca M. Turner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- W. Viechtbauer
- Julian P. T. Higgins
- Sander Greenland
- David J. Spiegelhalter
- Jeremy E. Oakley
- L. Hedges
- Anthony OʼHagan
- R. Dersimonian
- S. Thompson
- David J. Lunn
Who trusts Rebecca M. Turner overall
- Dan Jackson
- Nathan Walter
- S. Dias
- Irina Degtiar
- John P. A. Ioannidis
- Julian P. T. Higgins
- Paul T. von Hippel
- G. van Valkenhoef
- N. Welton
- J. Wetterslev
Papers from Rebecca M. Turner's perspective
Ordered by how strongly the researchers Rebecca M. Turner trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (International Journal of Epidemiology)
- Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
- Publication bias in meta-analysis: Prevention, assessment and adjustments (Psychometrika)
- General methods for monitoring convergence of iterative simulations
- Multiple‐bias modelling for analysis of observational data
- Uncertain Judgements: Eliciting Experts' Probabilities
- Reported Methodologic Quality and Discrepancies between Large and Small Randomized Trials in Meta-Analyses (Annals of Internal Medicine)
- The power of statistical tests in meta-analysis. (Psychological methods)
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Evaluating non-randomised intervention studies. (Health Technology Assessment)
Their papers
- Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (2012) — 790 citations
- Bias modelling in evidence synthesis (2009) — 319 citations
- The Impact of Study Size on Meta-analyses: Examination of Underpowered Studies in Cochrane Reviews (2013) — 621 citations
- Meta‐analysis using multilevel models with an application to the study of class size effects (2000) — 158 citations
- Power analysis for random-effects meta-analysis (2017) — 549 citations
- Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysis (2014) — 336 citations