D. McMillan

Statistics and Probability · General Hospital Psychiatry · 2012–2016

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom D. McMillan trusts overall

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

  1. K. Kroenke
  2. R. Spitzer
  3. S. Thompson
  4. Julian P. T. Higgins
  5. S. Gilbody
  6. J. Deeks
  7. Janet B W Williams

Who trusts D. McMillan overall

  1. C. Nienhuis
  2. I. Lesser
  3. Andreas Hinz
  4. R. Kocalevent
  5. Elmar Brähler
  6. L. Manea
  7. David E. Eagle
  8. C. Hybels
  9. Rae Jean Proeschold-Bell
  10. S. Gilbody

Papers from D. McMillan's perspective

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

  1. Validation and Utility of the Patient Health Questionnaire in Diagnosing Mental Disorders in 1003 General Hospital Spanish Inpatients (Psychosomatic Medicine)
  2. The PHQ-9 (Journal of general internal medicine)
  3. Comparative validity of three screening questionnaires for DSM-IV depressive disorders and physicians' diagnoses. (Journal of Affective Disorders)
  4. Conducting systematic reviews of diagnostic studies: didactic guidelines (BMC Medical Research Methodology)
  5. How should meta‐regression analyses be undertaken and interpreted? (Statistics in Medicine)
  6. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data (Statistics in Medicine)
  7. The PHQ-9: validity of a brief depression severity measure. (Journal of general internal medicine)
  8. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (British medical journal)
  9. Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis (Journal of general internal medicine)
  10. Validation of PHQ-2 and PHQ-9 to Screen for Major Depression in the Primary Care Population (Annals of Family Medicine)

Their papers