Naomi V. Bradbury

Statistics and Probability · 2019

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

Subfields

Whom Naomi V. Bradbury trusts overall

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

  1. Ian R. White
  2. A. Chaimani
  3. S. Dias

Papers from Naomi V. Bradbury's perspective

Ordered by how strongly the researchers Naomi V. Bradbury 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. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1. (Value in Health)
  3. Visualizing Assumptions and Results in Network Meta-analysis: The Network Graphs Package
  4. R: A language and environment for statistical computing.
  5. Network Meta-Analysis Using R: A Review of Currently Available Automated Packages (PLoS ONE)
  6. Network Meta-analysis
  7. New evidence pyramid (Evidence-Based Medicine)
  8. Assessing Evidence Inconsistency in Mixed Treatment Comparisons
  9. Bayesian measures of model complexity and fit
  10. Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis. (The Lancet)

Their papers