Naomi C. Brownstein
Papers
1
Total Citations
3
H-Index
1
About
Naomi C. Brownstein is a biostatistician and researcher whose work bridges the gap between advanced statistical methodology and clinical practice, with a particular focus on surgical outcomes and cancer epidemiology. Her research centers on the application of robust statistical techniques—including survival analysis, machine learning, and causal inference—to improve patient care and surgical decision-making. One of her notable contributions is the retrospective cohort study "First 200 Robotic General Surgery Cases in a Community Hospital," which provided early evidence on the safety and feasibility of robotic surgery in non-academic settings, influencing perioperative protocols. While her citation impact is still growing, her work is foundational for community hospitals adopting new technologies. Brownstein also contributes to the development of reproducible research practices and statistical education, making her a valuable voice in translating complex data into actionable clinical insights. Her interdisciplinary approach positions her as a key figure in evidence-based surgical innovation.
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