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Are you interested in cutting-edge statistical methods for design and analysis of studies used in Public Health research? In this episode we speak with the people behind the Pathways into Quantitative Aging Research (PQAR) Program offered by the Department of Biostatistics at NYU GPH. We’re joined by Dr. Rebecca Betensky, chair of the biostatistics department and program director, and Vardia Duterville, the program administrator for biostatistics and program coordinator for the PQAR program, to discuss the program's origins, offerings, success stories, and benefits. Through rigorous research and education, the PQAR program strives for excellence in innovative and groundbreaking methodological research that is relevant to critical Public Health research, collaborative research in pressing and important Public Health issues, and education and training of students from diverse backgrounds. Join us as we learn more about the program's evolution, ideal candidates, and how this program can serve as a model for other areas in academia.
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Are you interested in cutting-edge statistical methods for design and analysis of studies used in Public Health research? In this episode we speak with the people behind the Pathways into Quantitative Aging Research (PQAR) Program offered by the Department of Biostatistics at NYU GPH. We’re joined by Dr. Rebecca Betensky, chair of the biostatistics department and program director, and Vardia Duterville, the program administrator for biostatistics and program coordinator for the PQAR program, to discuss the program's origins, offerings, success stories, and benefits. Through rigorous research and education, the PQAR program strives for excellence in innovative and groundbreaking methodological research that is relevant to critical Public Health research, collaborative research in pressing and important Public Health issues, and education and training of students from diverse backgrounds. Join us as we learn more about the program's evolution, ideal candidates, and how this program can serve as a model for other areas in academia.
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