M. Grant

Statistics and Probability · with Fu · 2011

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

Subfields

Whom M. Grant trusts overall

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

  1. Julian P. T. Higgins
  2. Guobing Lu
  3. J. Deeks
  4. Thomas Lumley

Papers from M. Grant's perspective

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

  1. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
  2. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. (Statistics in Medicine)
  3. Assessing Evidence Inconsistency in Mixed Treatment Comparisons
  4. Measuring inconsistency in meta-analyses (British medical journal)
  5. Indirect comparisons of competing interventions. (Health Technology Assessment)
  6. Issues in the selection of a summary statistic for meta‐analysis of clinical trials with binary outcomes (Statistics in Medicine)
  7. Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses (British medical journal)
  8. Network meta‐analysis for indirect treatment comparisons (Statistics in Medicine)
  9. Combination of direct and indirect evidence in mixed treatment comparisons (Statistics in Medicine)
  10. Effect of rosiglitazone on the risk of myocardial infarction and death from cardiovascular causes. (New England Journal of Medicine)

Their papers