U. Krahn

Statistics and Probability · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom U. Krahn trusts overall

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

  1. Gerta Rücker
  2. Dan Jackson
  3. Julian P. T. Higgins
  4. Georgia Salanti
  5. Guobing Lu
  6. Ian R. White
  7. A. Ades
  8. W. Viechtbauer
  9. S. Dias
  10. J. Barrett

Who trusts U. Krahn overall

  1. A. Chaimani
  2. Georgia Salanti
  3. B. Neupane
  4. O. Efthimiou
  5. S. Balduzzi
  6. Gerta Rücker
  7. Danielle Richer
  8. Ashley J. Bonner

Papers from U. Krahn's perspective

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

  1. Assessing Evidence Inconsistency in Mixed Treatment Comparisons
  2. Checking consistency in mixed treatment comparison meta‐analysis (Statistics in Medicine)
  3. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression (Research Synthesis Methods)
  4. Evaluation of networks of randomized trials (Statistical Methods in Medical Research)
  5. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies (Research Synthesis Methods)
  6. Multivariate meta-analysis: Potential and promise (Statistics in Medicine)
  7. Advanced methods in meta‐analysis: multivariate approach and meta‐regression (Statistics in Medicine)
  8. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
  9. Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis. (The Lancet)
  10. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)

Their papers