A. Chan

Statistics and Probability · British medical journal · 2004–2020

A researcher in the Science corpus: 10 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom A. Chan trusts overall

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

  1. David Moher
  2. Douglas G. Altman
  3. K. F. Schulz

Who trusts A. Chan overall

  1. John P. A. Ioannidis
  2. Douglas G. Altman
  3. David Moher
  4. K. F. Schulz
  5. Daniele Fanelli
  6. J. Polanin
  7. Luke Plonsky
  8. J. Gurevitch
  9. Sally Hopewell
  10. Joshua Carp

Papers from A. Chan's perspective

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

  1. Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias (PLoS ONE)
  2. Systematic Review and Meta-analysis Supplements for Primary and Secondary Prevention: Mortality in Randomized Trials of Antioxidant
  3. Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease (Epidemiology)
  4. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. (American Journal of Epidemiology)
  5. Empirical evidence for selective reporting of outcomes in randomized trials: comparison of protocols to published articles. (Journal of the American Medical Association (JAMA))
  6. GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research (British medical journal)
  7. Principles of Good Practice for the Translation and Cultural Adaptation Process for Patient-Reported Outcomes (PRO) Measures: report of the ISPOR Task Force for Translation and Cultural Adaptation. (Value in Health)
  8. Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy. (Journal of the American Medical Association (JAMA))
  9. Specifying and reporting complex behaviour change interventions: the need for a scientific method (Implementation science : IS)
  10. Publication bias in meta-analysis: Prevention, assessment and adjustments (Psychometrika)

Their papers