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Activity Number: 515 - Advancing Nursing Research Through Biostatistics and Data Equity
Type: Topic Contributed
Date/Time: Thursday, August 11, 2022 : 8:30 AM to 10:20 AM
Sponsor: Caucus for Women in Statistics
Abstract #323483
Title: Advancing Nursing Research Through Biostatistics and Data Equity
Author(s): Susan Silva* and Wei Pan* and Daniel Hatch*
Companies: Duke University School of Nursing and Duke University School of Nursing and Duke University School of Nursing
Keywords: nursing; women in statistics; big data; nurse scientists ; equity; optimization
Abstract:

Nurse scientists are making significant contributions to advancing clinical care by increasingly using more rigorous statistics and equity principles in their research. Greatly enhancing the efforts of nurse scientists. With advances in technologies, nurse scientists are increasingly generating and using large/complex datasets to promote and improve the health of individuals, families, and communities. In recent years, the NIH has placed a great emphasis on enhancing and integrating statistics, data sciences, and equity into the health research enterprise. New strategies for collecting and analyzing data will allow us to better understand the biological, behavioral, and social underpinnings of health, and improving prevention and management of illness. In this panel we discuss (1) ensuring nurse scientists use the most rigorous statistical methods, (2) advancing equity, diversity and inclusion in design and analysis, and (3) discovering novel solutions to optimize health across clinical, community, and policy settings. Specifically, we will discuss health equity; social determinants of health; population and community health; prevention and health promotion; and, systems of care.


Authors who are presenting talks have a * after their name.

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