Y. Neumann

2003

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Y. Neumann trusts

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

  1. R. Rosenthal (in Statistics and Probability)
  2. Matthias Egger (in Statistics and Probability)
  3. J. Sterne (in Statistics and Probability)

Papers from Y. Neumann's perspective

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

  1. The file drawer problem and tolerance for null results
  2. Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. (Journal of Clinical Epidemiology)
  3. Direction and impact of language bias in meta-analyses of controlled trials: empirical study. (International Journal of Epidemiology)
  4. Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study (British medical journal)
  5. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. (New England Journal of Medicine)
  6. CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials (British medical journal)
  7. Industry sponsorship and research outcome. (Cochrane Database of Systematic Reviews)
  8. Influence of reported study design characteristics on intervention effect estimates from randomised controlled trials: combined analysis of meta-epidemiological studies. (Health Technology Assessment)
  9. Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease (Epidemiology)
  10. Clinical evidence does not support corticosteroid treatment for 2019-nCoV lung injury (The Lancet)

Their papers