DGHI Research Design & Analysis Core
The DGHI Research Design & Analysis Core uses rigorous design and analytic methods to strengthen global health research and education through meaningful collaboration with its faculty and students.
- Our mission and work extend to both faculty research and graduate student education and training.
- The Core has 10 members, including one PhD biostatistician, two PhD epidemiologists, one PhD social psychologist, four master’s level biostatisticians, one MSW, and one data collection and management specialist. We also have one affiliate member who is a PhD in biostatistics and two affiliate members who are PhD candidates in biostatistics and statistical sciences, respectively.
- We collaborate with DGHI faculty on grant proposal development and writing. DGHI faculty members are able to draw on our extensive experience in global health research projects by naming the Core and its members on grant proposals.
- We focus on quantitative methods and have a deep appreciation for qualitative and mixed methods research.
- We maintain strong links to Duke’s Department of Biostatistics & Bioinformatics and its Biostatistics Core, which is the home department of our four biostatisticians.
- We provide referrals to Duke Library services for DGHI, The Edge, SSRI’s Connection Bar, Biostatistics, Epidemiology, and Research Design (BERD) Core and other Duke and external organizations that provide complementary services.
- The Core collaborates and works closely with the DGHI Evidence Lab to perform rigorous evaluations of global health importance.
Founded as the DGHI Biostatistics Core in 2012, we became RDAC in 2015 to better reflect the importance of our role in meeting DGHI’s research and educational mission.
Collaboration with DGHI Faculty
The Research Design & Analysis Core collaborates with DGHI faculty on the design and analysis of population health research studies. Core members are available to meet with any DGHI faculty member regarding ongoing and new research proposals. DGHI affiliates, research scholars, postdoctoral scholars/associates and visiting scholars may request Core support as resources permit. For new grant proposals, our four PhD team members (Joe Egger, Joao Vissoci, Larry Park and Liz Turner) are available to be named as co-investigators on new grant proposals. Our MS team members (Alyssa Platt, John Gallis, Ryan Simmons and Yunji Zhou) and data specialist (Sabrina McCutchan) are available to further strengthen those new grant proposals by providing high-quality, in-house quantitative support through funded grant support. Types of research activities include, but are not limited to:
- Grant preparation, including the possibility of a statistician or epidemiologist named as a co-investigator, or a a master's level biostatistician on the proposal. Please note: Requests for grant support should be submitted within 5 days of notification to DGHI finance of intention to submit a grant (i.e., at least 90 days prior to the grant’s due date).
- Conceptualization and study design (e.g., methods, analysis plan)
- Data collection and sampling (e.g., power/sample size calculations, choosing data collection tools, designing data collection and management systems)
- Reliability/validity analysis (e.g., informal or formal bias analysis)
- Statistical analysis
- Manuscript preparation
- End-of-project closeout (e.g., preparing data for deposit in a repository)
- General statistical advice
- General epidemiological advice
Support is typically offered by meeting face-to-face in Durham, NC. When that is not possible, email or web-based (e.g., Skype, Google) consultation is available.
An initial consultation, subsidized by DGHI, is offered free of charge for appropriate requests. If a significant time investment is required, the faculty member or affiliate will need to provide funding. Depending on the time commitment, some additional support can be offered free of charge. For instance, assistance with preparation of a grant application may be provided; however, the grant application should include a budget request for continued doctoral-level and master's-level biostatistical or epidemiological support after the grant is funded.
Director, DGHI Research Design and Analysis Core
Assistant Professor of the Practice of Global Health
Associate Professor, Medicine (Infectious Diseases) and Global Health
Assistant Professor, Surgery and Neurosurgery
Evaluation Research Specialist
Data Administration Analyst
Support for DGHI Master's Degree Students
In addition to faculty input provided through the Master of Science in Global Health program course curricula and faculty mentorship, the DGHI Research Design & Analysis Core also offers statistical and epidemiological advice to students related to their master's thesis projects. Liz Turner and Larry Park provide support to master's degree students through their teaching of core methods courses. Liz Turner leads the fall course Biostatistics and Epidemiology I, whilst Larry Park leads the accompanying data analysis lab and leads the follow-on spring course Biostatistics and Epidemiology II. In addition, Joe Egger teaches an Intermediate Global Health Epidemiology course during the fall semester. Core members Joe Egger, Alyssa Platt and Jennifer Headley are available to meet with students and provide support in the following areas:
- Conceptualization and study design (e.g., methods, analysis plan, power/sample size calculations)
- Human subjects (IRB) review
- Questionnaire design
- Data entry forms and/or solutions
- General epidemiological or statistical consultation
- Questions about data structure or data cleaning
- Questions about preliminary exploratory analyses
- Statistical analysis methods/solutions
- Referral services for students, including Duke Libraries, IRIS and others.
To set up a meeting, first fill out a student request and someone will get in touch with you. Please plan ahead and submit the form as early as possible, as requests are taken in the order in which they are received.
Undergraduate Global Health students may seek support for quantitative questions from the Academic Resource Center and SSRI’s Connection Bar.