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clinical / clinicalCancer Health Disparities

Scarlett L. Bellamy

斯嘉丽·贝拉米

ScD

🏢Drexel University / University of Pennsylvania(德雷塞尔大学 / 宾夕法尼亚大学)🌐USA

Professor and Chair, Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health德雷塞尔大学多恩西弗公共卫生学院流行病学与生物统计系主任及教授

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Biostatistician and epidemiologist specializing in methods for cancer disparities research and clinical trial diversity. Developed analytic frameworks for measuring health equity in clinical trials and observational studies of cancer outcomes across racial and socioeconomic groups.

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🧪Research Fields 研究领域

Biostatistics in Disparities Research差异研究生物统计学
Clinical Trial Diversity临床试验多样性
Cancer Disparities Methods癌症差异研究方法
Longitudinal Data Analysis纵向数据分析
Health Equity Metrics健康公平指标

🎓Key Contributions 主要贡献

Statistical Methods for Disparities Research

Developed and disseminated novel statistical methods for analyzing disparities in cancer clinical trial outcomes, enabling more rigorous assessment of treatment equity.

Clinical Trial Diversity Metrics

Created quantitative frameworks for measuring and reporting diversity in cancer clinical trials, adopted by NCI and academic cancer centers.

Representative Works 代表性著作

[1]

Statistical approaches to assessing racial/ethnic disparities in cancer clinical trials

Clinical Trials (2016)

Provides rigorous statistical guidance for assessing disparities in treatment response and adverse events in racially diverse cancer trial populations.

[2]

Measurement of health disparities, health inequities, and social determinants of health to support the advancement of health equity

Journal of Public Health Management and Practice (2019)

Proposes a taxonomy and measurement framework for health equity metrics relevant to cancer and chronic disease research.

🏆Awards & Recognition 奖项与荣誉

🏆APHA Statistics Section Distinguished Service Award
🏆Drexel University Research Excellence Award

📄Data Sources 数据来源

Last updated: 2026-01-15 | All information from publicly available academic sources

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