R. Dersimonian

Statistics and Probability · 2007–2015

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom R. Dersimonian trusts overall

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

  1. Raghu N. Kacker
  2. Andrew L. Rukhin
  3. J. Inthout
  4. Guido Knapp
  5. Eleazar Eskin
  6. John P. A. Ioannidis
  7. Brad J. Biggerstaff
  8. Julian P. T. Higgins
  9. S. Thompson
  10. G. Borm

Who trusts R. Dersimonian overall

  1. Andrew L. Rukhin
  2. Dan Jackson
  3. Julian P. T. Higgins
  4. Wei Guo
  5. S. Thompson
  6. D. Burke
  7. Rebecca M. Turner
  8. A. Veroniki
  9. David J. Spiegelhalter
  10. Dean Langan

Papers from R. Dersimonian's perspective

Ordered by how strongly the researchers R. Dersimonian 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. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  3. A refined method for the meta‐analysis of controlled clinical trials with binary outcome (Statistics in Medicine)
  4. Restricted maximum likelihood estimation of a common mean and the Mandel–Paule algorithm
  5. The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method (BMC Medical Research Methodology)
  6. Combining information from interlaboratory evaluations using a random effects model
  7. Cardiac resynchronization and death from progressive heart failure: a meta-analysis of randomized controlled trials. (Journal of the American Medical Association (JAMA))
  8. Primary, Secondary, and Meta-Analysis of Research
  9. Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. (American Journal of Human Genetics)
  10. Improved tests for a random effects meta‐regression with a single covariate (Statistics in Medicine)

Their papers