DF/HCC Kidney Cancer SPORE Biostatistics and Bioinformatics Core 1

摘要 Dana-Farber/哈佛癌症中心(DF/HCC)肾癌生物统计和 生物信息学核心(核心1)就以下领域的所有研究活动进行合作并提供咨询 孢子包括孢子项目、发展研究和职业发展计划，以及 其他孢子核心-确保研究设计、数据领域的最高标准的科学严谨性 管理和完整性，以及数据分析和解释。具体目标是：(1)提供 生物统计学和生物信息学专业知识，用于规划和设计、实施、分析和报告 实验室、基因组、动物、翻译、临床(包括相关的相关研究) 孢子项目、发展研究和职业发展计划的流行病学研究 项目，以及其他孢子核。(2)就所有数据管理和完整性问题提供咨询； 包括关于统计和生物信息软件的数据收集、储存、传输和质量保证 计划，以及实验室结果与临床研究的参数和结果的协调 临床/转化性研究数据库。(3)提供短期生物统计和生物信息学咨询 孢子研究人员。将生物统计学和生物信息学专业知识组织为共享资源核心是一项成本- 有效的方法，以确保孢子调查人员随时可以进行协作，并有效地 确保具有相互关联的分析目标和需求的项目之间高度集成的战略。 癌症研究的新的统计和计算方法的发展导致了 扩大统计学家、生物信息学家和计算生物学家在研究过程中的作用 研究中什么是可接受的科学证据的更高标准。生物统计学家和 计算生物学家致力于专业地掌握这些发展，并应用他们的 检查假设、确保适当使用以及解释结果和限制的专业知识--这是一项挑战 超出了翻译调查人员的合理期望。

SUMMARY The Dana-Farber/Harvard Cancer Center (DF/HCC) SPORE in Kidney Cancer Biostatistics and Bioinformatics Core (Core 1) collaborates and provides consultation on all research activities within the SPORE including SPORE Projects, the Developmental Research and Career Development Programs, and other SPORE Cores - to ensure the highest standards of scientific rigor in areas of study design, data management and integrity, and data analysis and interpretation. The specific aims are to: (1) Provide biostatistical and bioinformatic expertise for the planning and design, conduct, analysis, and reporting of laboratory, genomic, animal, translational, clinical (including associated correlative studies), and epidemiological studies for SPORE Projects, Developmental Research and Career Development Program projects, and other SPORE Cores. (2) Provide consultation on all issues of data management and integrity, including data collection, storage, transfer and quality assurance, on statistical and bioinformatic software and programs, and on coordination of laboratory results with parameters and outcomes from clinical studies or clinical/translational research databases. (3) Provide short-term biostatistical and bioinformatic consulting to SPORE researchers. Organizing biostatistical and bioinformatic expertise as a shared resource core is a cost- effective approach to ensure that collaboration is readily available to SPORE investigators and an effective strategy to guarantee a high degree of integration among projects with interrelated analytic goals and needs. The development of new statistical and computational methodologies for cancer research has resulted in an expanded role for the statistician, bioinformatician and computational biologist in the research process and a higher standard for what constitutes acceptable scientific evidence in a study. Biostatisticians and computational biologists are professionally committed to staying on top of these developments and apply their expertise to check assumptions, assure appropriate use, and interpret results and limitations--a challenge beyond what can reasonably be expected of translational investigators.