The Proposal Design and Methods (PDM) service provides consultation on methodological design, database development, management and analyses, and support for statistical, quantitative, qualitative and mixed methods proposals.
Faculty & Staff
Director, Proposal, Design & Methods
Andres Azuero
PhD, MBA
Biostatistician specializing in designing, managing, and analyzing clinical trials and health interventions, and using statistical and machine learning techniques for modeling and analysis of observational data.
Mixed Methods Consultant
Shena Gazaway
PhD, RN
Consultant on qualitative and mixed methods approach to study design, data collection and analysis; community-engaged research principles as methodology to achieve health equity.
Mixed Methods Consultant
Emma Kay
PhD, MSW
Consultant on general qualitative and mixed methods, general study design, community-based participatory research, HIV, harm reduction, and sexual and gender minority health.
Data Analyst
Sarah Khalidi
MPH, BA
Analyst providing project support for data collection, data management, and quantitative and qualitative data analysis.
Biostatistician
Peng Li
PhD
Biostatistician focusing on design, management, conduct, analysis, and interpretation of clinical trials and epidemiologic studies, with expertise in cluster-randomized trials.
Biostatistician
Liang Shan
PhD
Biostatistician specializing in data visualization, network analysis, and longitudinal data analysis, with expertise in multilevel Gaussian graphical models.
Mixed Methods Consultant
Rachel Wells
PhD, RN
Consultant on career development award applications, intervention optimization (MOST framework), qualitative and mixed methods study design.
Services
- Support and development of methodological sections for grant proposals.
- Develop and adapt methodology for proposals.
- General Statistical/quantitative consultation.
- General Qualitative methods consultation.
- General Mixed Methods consultation.
- General database and data storage consultation
- Fee-for-service and pro-bono data analysis, quantitative and/or qualitative.
- Fee-for-service and pro-bono development and support of database and data storage solutions.
- Coordination with other university centers when specialized methodology is needed or due to overflow demand for services.
- Ongoing methods training for faculty, trainees, and staff.
To schedule a consultation for any of the above services, please complete the form below. We will respond to your request within 48 hours to set up a meeting to discuss your request.