Biostatistics

生物统计资源是罗斯威尔公园癌症研究所和 布法罗大学生物统计学系。生物统计资源的目标是 战略性地参与CCSG生成的科学数据的设计、实施和分析 计划成员。这包括研究目标的阐明、假设的陈述、 为实现研究目标的成本效益而制定适当的设计和模型， 确保使用现代和适当的统计方法，监测中期和最终分析， 协助撰写摘要和手稿。工作人员提供的专业知识确保 罗斯威尔公园癌症研究所进行的科学研究产生的有用信息是 最大化的同时将成本降至最低。与艾伦·哈特森博士，两所大学的生物统计学主席 布法罗大学和罗斯威尔公园癌症研究所，格雷戈里·怀尔丁，博士，助理教授，以及几个 新任命的博士和硕士级别的生物统计学家，资源在以下方面有了显著的改善 它的技术专长。这方面的专业知识涵盖生物统计学、分子流行病学、生物信息学和 统计遗传学。大多数资源项目需要使用标准的和商业上可用的工具。 最近，随着高吞吐量技术的爆炸性增长，特定的问题需要创新的 资源为其开发新方法和/或定制软件的解决方案。在 生物统计资源，生物技术、分析和可视化资源(BAVR)，由Daniel领导 Gaile博士被开发为复杂统计遗传学和 生物信息学问题。资源的扩展和增强功能已向CCSG公布 项目负责人通过推荐，根据科学审查委员会的要求，协议和 拨款申请得到了生物统计学家的意见，资助机构的授权包括 具有适当功率分析的统计设计、资源人员举办的正式研讨会和演示文稿 在计划会议上。在与统计部门的关系方面也形成了很强的协同作用 和妇科肿瘤组(GOG)的数据协调中心。此外，该资源还具有 一直是培养生物统计学研究生的沃土。 所有六个程序都使用该资源。请求为CCSG提供251,993美元的支持， 占总运营预算的22%。

The Biostatistics Resource is a joint effort between Roswell Park Cancer Institute and the Department of Biostatistics at the University at Buffalo. The objective of the Biostatistics Resource is to be strategically involved in the design, implementation, and analysis of scientific data generated by CCSG program members. This includes the articulation of study objectives, statement of hypotheses, the derivation of appropriate designs and models for the cost effective achievement of a study's objectives, the assurance that modern and appropriate statistical methods are used, monitoring interim and final analyses, and assisting in the writing of abstracts and manuscripts. The expertise provided by the staff ensures that the yield of useful information from the scientific studies conducted at Roswell Park Cancer Institute is maximized while the costs are minimized. With Alan Hutson, PhD, Chair of Biostatistics at both the University at Buffalo and Roswell Park Cancer Institute, Gregory Wilding, PhD, Assistant Chair, and several newly appointed PhD and MS level biostatisticians, the Resource has improved dramatically with respect to its technical expertise. This expertise spans biostatistics, molecular epidemiology, bioinformatics and statistical genetics. Most Resource projects require the use of standard and commercially available tools. More recently, with the explosion of high throughput technologies, particular problems require an innovative solution for which the Resource develops novel methodology and/or custom software. Within the Biostatistics Resource, the Biotechnical, Analytic and Visualization Resource (BAVR), headed by Daniel Gaile, PhD, has been developed to spearhead software development for complex statistical genetics and bioinformatics problems. The Resource's expanded and enhanced capabilities are made known to CCSG Program leaders through referrals, by the Scientific Review Committee's requirement that protocols and grant applications have input from a biostatistician, the mandate by funding agencies that proposals include statistical designs with proper power analyses, formal seminars given by Resource staff, and presentations at Program meetings. Strong synergies have also developed in terms of the relationship with the Statistics and Data Coordinating center for the Gynecologic Oncology Group (GOG). In addition, the Resource has been a fertile ground for training graduate students in biostatistics. The Resource is used by all six Programs. $251,993 in CCSG support is requested, representing 22% of the total operating budget.