Training and Funding Opportunities
Funding for students interested in the methods program area is primarily through the training grants of the department, such as the Drug Dependence and Epidemiology Training Program and the Psychiatric Epidemiology Training Program.
There are also training programs of particular relevance to the methods area:
Mental Health Services and Systems T32
This NIMH-funded training program for pre- and post-doctoral trainees aims to train scholars who will become leaders in mental health services and systems research. This program focuses on producing researchers who can address critical gaps in knowledge with a focus on: (1) how health care services, delivery settings, and financing systems affect the wellbeing of persons with mental illness; (2) how cutting-edge statistical and econometric methods can be used in intervention design, policies, and programs to improve care; and (3) how implementation science can be used to most effectively disseminate evidence-based advances into routine practice.
Integrative data analysis for causal inference in behavioral health
This NIH-funded training program aims to train scholars to become leaders in the use of advanced computational methods and designs to estimate causal effects in behavioral health. The program provides rigorous training and high-quality mentorship in: 1) the science of behavioral health; 2) computational and analytic tools to manage, analyze, and integrate complex data sources; and 3) causal inference methods to take full advantage of these data.
Mixed Methods Research Training Program for the Health Sciences
The Mixed Methods Research Training Program for the Health Sciences (MMRTP) is a yearlong training program for researchers in the health sciences funded by several Institutes of the National Institutes of Health under the auspices of the Office of Behavioral and Social Science Research. The overarching goal of the MMRTP is to provide a state-of-the-art methods training program to enhance the mixed methods skills of NIH investigators.