Personalized prediction of antidepressant v. placebo response: Evidence from the EMBARC study

Christian A. Webb, Madhukar H. Trivedi, Zachary D. Cohen, Daniel G. Dillon, Jay C. Fournier, Franziska Goer, Maurizio Fava, Patrick J. McGrath, Myrna Weissman, Ramin Parsey, Phil Adams, Joseph M. Trombello, Crystal Cooper, Patricia Deldin, Maria A. Oquendo, Melvin G. McInnis, Quentin Huys, Gerard Bruder, Benji T. Kurian, Manish JhaRobert J. Derubeis, Diego A. Pizzagalli

Research output: Contribution to journalArticlepeer-review

87 Citations (Scopus)
Original languageEnglish
Pages (from-to)1118-1127
Number of pages10
JournalPsychological Medicine
Volume49
Issue number7
DOIs
Publication statusPublished - May 1 2019
Externally publishedYes

ASJC Scopus Subject Areas

  • Psychiatry and Mental health
  • Applied Psychology

Keywords

  • Antidepressant
  • depression
  • endophenotype
  • machine learning
  • placebo
  • precision medicine
  • prediction

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