Training in Comparative Effectiveness Research for Suicide Prevention

Funded by the U.S. National Institute of Mental Health (training grant T32 MH125815), this interdisciplinary program is designed to train young investigators on modern causal inference methods for research on suicide prevention. The program trains both (i) researchers who have causal inference expertise, but not necessarily subject-matter expertise in suicide prevention, and (ii) researchers who have subject-matter expertise in suicide prevention, but not necessarily causal inference expertise. By bringing together investigators with interests ranging from predominantly methodological to predominantly substantive, the program facilitates cross-fertilization of ideas that will result in better tools for suicide prevention.

The Training Program is co-directed by Miguel Hernán, Matthew Nock, and Philip Wang. It coordinates training opportunities provided by the CAUSALab and the Department of Epidemiology of the Harvard T.H. Chan School of Public Health, the Department of Psychology in the Faculty of Arts and Sciences at Harvard University, the Department of Psychiatry and the Department of Health Care Policy at Harvard Medical School, and Boston area hospitals. Both doctoral students (predoc trainees) and postdoctoral researchers (postdoc trainees) who are U.S. citizens or permanent residents are eligible to apply.

  • Predoc trainees need to have been previously admitted to the PhD in Population Sciences (with an emphasis on epidemiologic methods, psychiatric epidemiology, clinical epidemiology, or related fields) or to the PhD in Psychology (with an emphasis on clinical psychology) at Harvard. Eligibility for doctoral students in other Harvard PhD programs will be considered on a case-by-case basis.
  • Postdoc trainees will be appointed as Research Fellows in the Department of Epidemiology. Candidates are expected to have an MD with training in psychiatry or a PhD in clinical psychology, epidemiology, or a related field.

If you are interested in applying, please write to Joanna Michalski (jmichalski@hsph.harvard.edu).