S. Gilbody

Pharmacology · 2003–2021

A researcher in the Science corpus: 12 papers; trusts 25 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom S. Gilbody trusts overall

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

  1. K. Kroenke
  2. S. Thompson
  3. Julian P. T. Higgins
  4. R. Spitzer
  5. A. Glas
  6. Johannes B Reitsma
  7. Haitao Chu
  8. B. Löwe
  9. Janet B W Williams
  10. J. Deeks

Who trusts S. Gilbody overall

  1. L. Manea
  2. K. Kroenke
  3. Tuka Al Hanai
  4. Byron J. Powell
  5. R. Legro
  6. D. McMillan
  7. R. Spitzer
  8. R. Kocalevent
  9. David E. Eagle
  10. Leonard E. Egede

Papers from S. Gilbody's perspective

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

  1. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
  2. Conducting systematic reviews of diagnostic studies: didactic guidelines (BMC Medical Research Methodology)
  3. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). (Journal of the American Medical Association (JAMA))
  4. Detecting and monitoring depression with a two-item questionnaire (PHQ-2). (Journal of Psychosomatic Research)
  5. How should meta‐regression analyses be undertaken and interpreted? (Statistics in Medicine)
  6. The Patient Health Questionnaire-2: Validity of a Two-Item Depression Screener (Medical Care)
  7. Sources of Variation and Bias in Studies of Diagnostic Accuracy (Annals of Internal Medicine)
  8. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. (Journal of Clinical Epidemiology)
  9. Comparative validity of three screening questionnaires for DSM-IV depressive disorders and physicians' diagnoses. (Journal of Affective Disorders)
  10. The diagnostic odds ratio: a single indicator of test performance. (Journal of Clinical Epidemiology)

Their papers