D. Caldwell

Statistics and Probability · Annals of Internal Medicine · 2010–2015

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom D. Caldwell trusts overall

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

  1. Guobing Lu
  2. Thomas Lumley
  3. Georgia Salanti
  4. A. Ades
  5. S. Dias
  6. David J. Spiegelhalter
  7. Julian P. T. Higgins
  8. Rebecca M. Turner

Who trusts D. Caldwell overall

  1. Georgia Salanti
  2. Gerta Rücker
  3. Ian R. White
  4. A. Chaimani
  5. Matthew J. Page
  6. Adriani Nikolakopoulou
  7. G. van Valkenhoef
  8. Julian P. T. Higgins
  9. S. Dias

Papers from D. Caldwell's perspective

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

  1. Bias modelling in evidence synthesis (Journal of the Royal Statistical Society. Series A,)
  2. Indirect comparisons of competing interventions. (Health Technology Assessment)
  3. Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses (British medical journal)
  4. Issues in the selection of a summary statistic for meta‐analysis of clinical trials with binary outcomes (Statistics in Medicine)
  5. Assessing Evidence Inconsistency in Mixed Treatment Comparisons
  6. Checking consistency in mixed treatment comparison meta‐analysis (Statistics in Medicine)
  7. A re-evaluation of random-effects meta-analysis (Journal of the Royal Statistical Society. Series A,)
  8. Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis. (The Lancet)
  9. Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers (BMC Medicine)
  10. Evidence Synthesis for Decision Making 2 (Medical decision making)

Their papers