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The primary mission of the Cancer Prevention and Outcomes Data Support (CPODS) SR is to support participant recruitment, data collection, and management of diverse research projects, including surveys, observational studies, randomized controlled trials, implementation science and cancer care delivery research, program evaluation, and qualitative research studies.
Elisa Bandera, MD, PhD, serves as CPODS SR Director (2020) and is primarily responsible for supporting quantitative research and the overall oversight of the SR. Bandera is fluent in Spanish and has extensive experience recruiting minority and medically underserved populations, in-person interviewing, anthropometric and blood pressure measurements, dietary assessment methods, biospecimen collection, medical and pharmacy records acquisition, and abstraction and health services research using electronic health records.
Jeanne Ferrante, MD, MPH, serves as CPODS SR Co-Director (2021) to primarily lead the support of qualitative research projects and works closely with Bandera in the day-to-day operations of the SR. Ferrante has expertise in quantitative, qualitative, and mixed methods research, from secondary data analysis of large databases to chart review studies, surveys, focus groups, interviews, and randomized controlled trials, particularly among Black, Indigenous, and People of Color (BIPOC) populations.
Carolina Lozada, MPH, serves as Manager and specializes in the use of software (DatStat, RedCap, Qualtrics, SNAP, and Atlas) that support observational trials and survey development.
Myneka Macenat, MPH, serves as Program Coordinator and is primarily responsible for conducting qualitative data collection and analysis.
"Services, results and/or products in support of the research project were generated by Rutgers Cancer Institute of New Jersey Cancer Prevention and Outcomes Data Support Shared Resource."
CPODS SR faculty or staff members who contribute substantially to the conception or design of the work, or the acquisition, analysis, or interpretation of data; and contribute to drafting the work or revising it critically for important intellectual content should be included as co-authors.
NIH Public Access Policy: Publications that result from services provided by this Shared Resource must be compliant with the NIH Public Access policy by submitting your paper to PubMed Central. Go to: https://publicaccess.nih.gov/submit_process.htm for PubMed Central's submission methods instructions.
If you require additional guidance on how to properly acknowledge a single shared resource or multiple shared resources you may contact Janet Bandoy, Shared Resource Coordinator.
Last updated 01/20/2023