Byu Scholarsarchive

Statistics and Probability · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Byu Scholarsarchive trusts overall

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

  1. Richard L. Tweedie
  2. J. Peters
  3. B. Lakey
  4. M. Dimatteo
  5. Bert N. Uchino
  6. Robert D. Putnam
  7. A. Sutton

Who trusts Byu Scholarsarchive overall

  1. J. Holt‐Lunstad
  2. Danilo Bzdok
  3. Lauren M. Sippel
  4. Robin I. M. Dunbar
  5. Andrew Steptoe
  6. E. Diener
  7. John T. Cacioppo
  8. B. Wampold
  9. D. Dozois
  10. Timothy B. Smith

Papers from Byu Scholarsarchive's perspective

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

  1. Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis (Biometrics)
  2. A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
  3. Social support and patient adherence to medical treatment: a meta-analysis. (Health Psychology)
  4. Bowling alone: the collapse and revival of American community (Conference on Computer Supported Cooperative Work)
  5. Providing Social Support May Be More Beneficial Than Receiving It (Psychology Science)
  6. Hostile marital interactions, proinflammatory cytokine production, and wound healing. (Archives of General Psychiatry)
  7. Effects of treating depression and low perceived social support on clinical events after myocardial infarction: the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Randomized Trial. (Journal of the American Medical Association (JAMA))
  8. Social Support and Health: A Review of Physiological Processes Potentially Underlying Links to Disease Outcomes (Journal of behavioral medicine)
  9. Measuring social integration and social networks.
  10. Comparison of two methods to detect publication bias in meta-analysis. (Journal of the American Medical Association (JAMA))

Their papers