N. Aburto

Statistics and Probability · 2013–2021

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

Subfields

Whom N. Aburto trusts overall

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

  1. Julian P. T. Higgins
  2. S. Thompson
  3. Ramachandran S. Vasan

Papers from N. Aburto's perspective

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

  1. Measuring inconsistency in meta-analyses (British medical journal)
  2. A re-evaluation of random-effects meta-analysis (Journal of the Royal Statistical Society. Series A,)
  3. Biomarkers of Cardiovascular Disease: Molecular Basis and Practical Considerations (Circulation)
  4. Tracking of Blood Pressure From Childhood to Adulthood: A Systematic Review and Meta–Regression Analysis (Circulation)
  5. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
  6. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
  7. Quantifying heterogeneity in a meta‐analysis (Statistics in Medicine)
  8. How should meta‐regression analyses be undertaken and interpreted? (Statistics in Medicine)
  9. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews (International Journal of Epidemiology)
  10. Systematic Review and Meta-analysis Supplements for Primary and Secondary Prevention: Mortality in Randomized Trials of Antioxidant

Their papers