Welcome to the Mental Health Statistics Section!

The Mental Health Statistics Section aims to provide a forum for communication among statisticians and mental health researchers, facilitate development and use of sound statistical methodologies in mental health research, and promote career opportunities for statisticians in mental health research


  • Thomas R. Ten Have Symposium on Statistics in Mental Health (June 8-9, 2023)

    The annual Thomas R. Ten Have Symposium on Statistics in Mental Health will be held June 8-9, 2023 at the Joseph B. Martin Conference Center in Boston, MA, hosted by Harvard Medical School and McLean Hospital. This event continues and expands upon the Annual Symposium on Statistics in Psychiatry started in 1999 with participants from Columbia University, New York University, University of Pennsylvania, Yale University, and Cornell University.

    The conference will consist of eight invited talks with discussion, a poster session and reception, and a group dinner. This year's keynote speaker will be Dr. Susan Murphy, Mallinckrodt Professor of Statistics and Computer Science at the Radcliffe Institute, Harvard University.

    Posters on statistical methodology or applied research in the area of mental health will be on display throughout the conference. We welcome submissions from participants at all career stages, including students and trainees. To present at the conference, please submit an abstract of less than 500 words to Alex De Nadai at adenadai@mclean.harvard.edu. Posters will be reviewed on a rolling basis until May 1.

    Registration is now open. For more information and to register, please go to https://tth2023.eventbrite.com.

  • 2023 Student Paper Award Competition Winners

    Congratulations to the winners of the 2023 Mental Health Statistics Section Student Paper Award competition:

    Richard Watson, NC State University
    On Heterogeneous Treatment Effect Estimation in Causal Graphs

    Daiqi Gao, University of North Carolina at Chapel Hill
    Fusing Individualized Treatment Rules Using Auxiliary Outcomes

    Jizhou Kang, University of California, Santa Cruz
    Flexible Bayesian Modeling for Longitudinal Binary Responses

    Awards will be presented to the winner at the MHSS Mixer at JSM 2023.

MHSS Webinars

The MHSS is pleased to continually offer a number of webinars.

2023 Webinars

Date and Time: May 31st at 12:15-1:30 PM EST
Speaker: Dr. Abera Wouhib (NIH)
Title: Funding opportunities at NIMH relevant to statistical and computational approaches

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