R. Harbord

Statistics and Probability · 2004–2012

A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom R. Harbord trusts overall

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

  1. Johannes B Reitsma
  2. J. Deeks
  3. Carolyn M. Rutter
  4. J. Sterne
  5. George Davey Smith
  6. Matthias Egger
  7. Patrick M. M. Bossuyt
  8. A. Glas
  9. Constantine Gatsonis
  10. Christopher F. Baum

Who trusts R. Harbord overall

  1. R. Riley
  2. Dan Jackson
  3. John P. A. Ioannidis
  4. Stephen Burgess
  5. J. Bowden
  6. Lifeng Lin
  7. J. Theule
  8. Ian R. White
  9. E. Sanderson
  10. Siew S. Lim

Papers from R. Harbord's perspective

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

  1. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data (Statistics in Medicine)
  2. Conducting systematic reviews of diagnostic studies: didactic guidelines (BMC Medical Research Methodology)
  3. Systematic reviews in health care: Systematic reviews of evaluations of diagnostic and screening tests. (British medical journal)
  4. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
  5. Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias (PLoS ONE)
  6. Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study (British medical journal)
  7. Are the clinical effects of homoeopathy placebo effects? Comparative study of placebo-controlled trials of homoeopathy and allopathy. (The Lancet)
  8. A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
  9. LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
  10. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey (Canadian Medical Association Journal)

Their papers