Her transition into the area of psychiatric research was funded by an NIMH K25 award for developing statistical methodology for predicting suicide and suicide attempt based on multidimensional data.
Dr. Galfalvy’s methodological research interests focus on statistical methods for analyzing psychiatric data, including building and evaluating prediction models for suicide/attempt, analysis of multidimensional longitudinally measured data, and statistical genetics. She has collaborated throughout her career with established psychiatric investigators and research groups, both nationally and internationally, as a co-investigator or statistician on projects funded by NIMH, the American Foundation for Suicide Prevention, the New York State Office of Mental Health, the VA, and SAMHSA.