Oliver Kuss

Statistics and Probability · 2002–2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Kuss trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. W. Viechtbauer
  2. Andrew L. Rukhin
  3. J. Deeks

Who trusts Oliver Kuss overall

  1. Gunther Eysenbach
  2. V. Suárez-Lledó

Papers from Oliver Kuss's perspective

Ordered by how strongly the researchers Oliver Kuss trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random-effects model for meta-analysis of clinical trials: an update. (Contemporary Clinical Trials)
  2. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. (Statistics in Medicine)
  3. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
  4. Parametric Empirical Bayes Inference: Theory and Applications
  5. How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?
  6. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
  7. Estimating heterogeneity variance in meta‐analysis
  8. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (International Journal of Epidemiology)
  9. Simple heterogeneity variance estimation for meta‐analysis
  10. Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model

Their papers