Ashley J. Bonner

Statistics and Probability · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ashley J. Bonner trusts overall

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

  1. A. Ades
  2. Georgia Salanti
  3. Guobing Lu
  4. Thomas Lumley
  5. W. Viechtbauer
  6. S. Dias
  7. Julian P. T. Higgins
  8. U. Krahn

Papers from Ashley J. Bonner's perspective

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

  1. Checking consistency in mixed treatment comparison meta‐analysis (Statistics in Medicine)
  2. Assessing Evidence Inconsistency in Mixed Treatment Comparisons
  3. Bayesian measures of model complexity and fit
  4. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies (Research Synthesis Methods)
  5. Evidence Synthesis for Decision Making 2 (Medical decision making)
  6. Indirect and mixed‐treatment comparison, network, or multiple‐treatments meta‐analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool (Research Synthesis Methods)
  7. Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis. (The Lancet)
  8. Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis. (The Lancet)
  9. General methods for monitoring convergence of iterative simulations
  10. Network meta‐analysis for indirect treatment comparisons (Statistics in Medicine)

Their papers