Yinghui Wei
Statistics and Probability · 2014
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 9 citations into it
Whom Yinghui Wei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yinghui Wei's perspective
Ordered by how strongly the researchers Yinghui Wei 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)
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Bayesian measures of model complexity and fit
- General methods for monitoring convergence of iterative simulations
- Confidence intervals for the amount of heterogeneity in meta‐analysis (Statistics in Medicine)
- Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
- How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?
- R: A language and environment for statistical computing.
- The Interpretation of Random-Effects Meta-Analysis in Decision Models (Medical decision making)
- A re-evaluation of random-effects meta-analysis (Journal of the Royal Statistical Society. Series A,)