A. Batterham

Statistics and Probability · 2006–2009

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom A. Batterham trusts overall

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

  1. W. Hopkins
  2. Douglas G. Altman
  3. David Moher
  4. K. F. Schulz
  5. Patrick M. M. Bossuyt

Who trusts A. Batterham overall

  1. M. Buchheit
  2. Matthew C. Varley
  3. Tim J. Gabbett
  4. W. Hopkins
  5. Matthew Charles Weston
  6. I. Fairweather
  7. M. Rubinoff
  8. Robert J. Aughey1,2
  9. L. Thorburn

Papers from A. Batterham's perspective

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

  1. Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies (British medical journal)
  2. The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (Annals of Internal Medicine)
  3. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. (Journal of the American Medical Association (JAMA))
  4. The CONSORT statement: revised recommendations for improving the quality of reports of parallel group randomized trials (Annals of Internal Medicine)
  5. The STARD Statement for Reporting Studies of Diagnostic Accuracy: Explanation and Elaboration (Annals of Internal Medicine [serial online])
  6. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative (British medical journal)
  7. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (Annals of Internal Medicine [serial online])
  8. Measures of Reliability in Sports Medicine and Science (Sports Medicine)
  9. An approximate distribution of estimates of variance components.
  10. Reducing waste from incomplete or unusable reports of biomedical research. (The Lancet)

Their papers