Scott Klarenbach

BMC Medicine · 2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Scott Klarenbach trusts

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

  1. S. Thompson (in Statistics and Probability)
  2. Julian P. T. Higgins (in Statistics and Probability)

Papers from Scott Klarenbach's perspective

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

  1. How should meta‐regression analyses be undertaken and interpreted? (Statistics in Medicine)
  2. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  3. Bayes factors
  4. A refined method for the meta‐analysis of controlled clinical trials with binary outcome (Statistics in Medicine)
  5. BUGS - Bayesian inference Using Gibbs Sampling Version 0.50
  6. Bayesian data analysis.
  7. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (International Journal of Epidemiology)
  8. Computer Intensive Methods for Testing Hypotheses: An Introduction
  9. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
  10. Reported Methodologic Quality and Discrepancies between Large and Small Randomized Trials in Meta-Analyses (Annals of Internal Medicine)

Their papers