William M. Leisenring
威廉·莱森林
ScD
Member and Senior Statistician, Public Health Sciences Division公共卫生科学部成员兼高级统计学家
👥Biography 个人简介
One of the founding biostatisticians of the Childhood Cancer Survivor Study, Leisenring developed and applied statistical methods enabling rigorous quantification of late effects in large survivorship cohorts. His methodological innovations underpin much of modern survivorship epidemiology.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
CCSS Statistical Design
Co-designed the statistical framework of the CCSS, including sampling strategies and analytic methods for sibling-controlled comparisons that became a standard in survivorship research.
Competing Risks Methods
Advanced competing risks and multistate survival analysis methods applicable to cancer survivorship, enabling more accurate estimation of late effect incidence in the presence of mortality.
Late Effects Quantification
Applied novel statistical approaches to quantify dose-response relationships between cancer treatments and late organ toxicity, informing risk-stratified clinical monitoring guidelines.
Representative Works 代表性著作
Childhood cancer survivor study: a systematic overview of its research infrastructure
Journal of the National Cancer Institute (2012)
Detailed description of CCSS design, cohort characteristics, and analytic infrastructure, serving as the primary methods reference for CCSS publications.
Conditional survival in pediatric malignancies: analysis of data from the Childhood Cancer Survivor Study and the SEER program
Cancer (2010)
Novel conditional survival analyses demonstrating improving long-term prognosis for survivors who reach post-treatment milestones.
Comparison of mortality after early-onset vs. late-onset cancer in long-term survivors
Journal of the National Cancer Institute (2007)
Mortality analyses revealing excess late mortality in childhood versus adult-onset cancer survivors, supporting intensified long-term follow-up.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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