Katharina Seewald
Statistics and Probability · 2012
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it
Whom Katharina Seewald trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Katharina Seewald's perspective
Ordered by how strongly the researchers Katharina Seewald trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
- Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
- How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
- Mendelian randomization: prospects, potentials, and limitations. (International Journal of Epidemiology)
- Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
- Statistical Methods for Meta‐Analysis
- The Handbook of Research Synthesis and Meta-Analysis
- How should meta‐regression analyses be undertaken and interpreted? (Statistics in Medicine)
- A refined method for the meta‐analysis of controlled clinical trials with binary outcome (Statistics in Medicine)
- Improved tests for a random effects meta‐regression with a single covariate (Statistics in Medicine)