Statistical modeling to support population and translational cancer research

项目摘要/摘要 制定有效的癌症控制战略需要对经验证据和 同样严格的分析，以解决经验证据中不可避免的空白。在之前的项目中 在此期间，首席调查员为广泛的研究提供了重要的统计支助 关注前列腺癌，范围从基础科学实验到临床试验和人口 模特儿研究。在这次续签申请中，他将继续为 多项目转化型前列腺癌研究计划和癌症的计算机建模专业知识 监视研究计划，使用生物数学模型来解决证据差距并提供信息 人口前列腺癌政策。他还将担任数据建模和分析的首席建模师 一个新的多项目研究计划的核心，该计划将调查新的癌症诊断的临床应用 技术和多癌症早期检测测试。成功支持这些研究项目 需要在生物统计学方法、计算机编程和数据分析方面的广泛专业知识，以识别和 实施适当的方法，询问模型假设，并将结果中的不确定性包括在内。 杰出的科学协作和沟通能力是解释优势和 选定方法的局限性，并通过PEER将项目从科学研究阶段带来 审查，以便他们的结果可以影响护理的提供。在之前的项目期内，校长 调查员一贯展示了所有这些技能，并在建立他的 研究小组在癌症建模方面的领导地位，以生成证据和制定政策。计划中的 更新期的研究包括对新的多发性癌症早期的自然病史和结果进行模拟 检测试验，调查精确早期发现和治疗战略的结果，以及 确定有针对性的筛查和治疗战略，以减少健康差距。校长的续期 调查员研究专家奖将促进他的研究小组继续保持出色的水平 并促进他继续传播高影响力的研究，其特点是统计和 透明、严谨和可靠的建模方法。

PROJECT SUMMARY/ABSTRACT Developing effective strategies for cancer control requires rigorous analysis of empirical evidence and similarly rigorous analysis to address inevitable gaps in empirical evidence. During the previous project period, the Principal Investigator provided critical statistical support for a broad spectrum of research studies focused on prostate cancer, ranging from basic science experiments through clinical trials and population modeling studies. In this renewal application, he will continue to provide biostatistical analysis services for a multi-project translational prostate cancer research program and computer modeling expertise for a cancer surveillance research program that uses biomathematical models to address evidence gaps and inform population prostate cancer policies. He will also serve as lead modeler in the Data Modeling and Analytics Core of a new multi-project research program that will investigate clinical utility of novel cancer diagnostic technologies and multi-cancer early detection tests. Successfully supporting these research programs requires broad expertise in biostatistical methods, computer programming, and data analysis to identify and implement appropriate methods, interrogate model assumptions, and bracket uncertainty in results. Outstanding scientific collaboration and communication skills are essential to explain strengths and limitations of selected approaches and to bring projects from the scientific inquiry phase through peer review so that their results can impact the delivery of care. During the previous project period, the Principal Investigator consistently demonstrated all these skills and has been instrumental in establishing his research group's leadership in cancer modeling for evidence generation and policy development. Planned studies for the renewal period include modeling of natural history and outcomes for new multi-cancer early detection tests, investigating outcomes of strategies for precision early detection and treatment, and identifying targeted screening and treatment strategies to reduce health disparities. Renewal of the Principal Investigator's Research Specialist award will facilitate his research group's continued stellar level of productivity and foster his continued dissemination of high-impact research characterized by statistical and modeling approaches that are transparent, rigorous, and reliable.