Guido Knapp
Statistics and Probability · 2001–2015
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 25 citations into it; #1,855 of 12,932 by trust here, #1,934 by citations
Whom Guido Knapp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Guido Knapp overall
- W. Viechtbauer
- Julian P. T. Higgins
- Kurex Sidik
- J. Inthout
- Dan Jackson
- M. Assink
- Erik Gonzalez‐Mulé
- Philipp Böhnlein
- S. Thompson
- Cyrus Samii
Papers from Guido Knapp's perspective
Ordered by how strongly the researchers Guido Knapp trusts endorse each paper. Same corpus, a different order for every researcher.
- Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
- How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
- What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. (Statistics in Medicine)
- Parametric Empirical Bayes Inference: Theory and Applications
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
- 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
- Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
- Improved tests for a random effects meta‐regression with a single covariate (Statistics in Medicine)
- Estimating heterogeneity variance in meta‐analysis
Their papers
- Improved tests for a random effects meta‐regression with a single covariate (2003) — 1,902 citations
- Methods to estimate the between‐study variance and its uncertainty in meta‐analysis† (2015) — 1,384 citations
- Statistical Meta-Analysis with Applications (2008) — 538 citations
- A refined method for the meta‐analysis of controlled clinical trials with binary outcome (2001) — 672 citations