J. Inthout

Statistics and Probability · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom J. Inthout trusts overall

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

  1. Kurex Sidik
  2. Julian P. T. Higgins
  3. W. Viechtbauer
  4. Guido Knapp
  5. Jeffrey N. Jonkman
  6. S. Thompson
  7. John P. A. Ioannidis
  8. J. Deeks

Who trusts J. Inthout overall

  1. R. Dersimonian
  2. J. Jakobsen
  3. Nan M. Laird
  4. J. Wetterslev

Papers from J. Inthout's perspective

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

  1. Improved tests for a random effects meta‐regression with a single covariate (Statistics in Medicine)
  2. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  3. A simple confidence interval for meta‐analysis (Statistics in Medicine)
  4. A refined method for the meta‐analysis of controlled clinical trials with binary outcome (Statistics in Medicine)
  5. Simple heterogeneity variance estimation for meta‐analysis
  6. On Constructing Confidence Intervals for a Standardized Mean Difference in Meta-analysis
  7. 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)
  8. Parametric Empirical Bayes Inference: Theory and Applications
  9. How should meta‐regression analyses be undertaken and interpreted? (Statistics in Medicine)
  10. A re-evaluation of random-effects meta-analysis (Journal of the Royal Statistical Society. Series A,)

Their papers