Biostatistics

生物统计学

• 批准号: 7714241
• 负责人: Judith D. Goldberg
• 金额: $ 17.9万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-18 至 2013-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7714241
• 关键词: Advisory Committees; Area; Basic Science; Bioinformatics; Biometry; Biostatistics Shared Resource; Cancer Center Support Grant; Cancer Research Project; Clinical; Clinical Data; Clinical Informatics; Clinical Protocols; Clinical Research; Clinical Trials; Clinical Trials Design; Collaborations; Complex; Conduct Clinical Trials; Consultations; Data; Data Analyses; Data Collection; Databases; Development; Environment; Explosion; Face; Funding; Gene Expression; Genetic; Genomics; Health Services Research; Image; Informatics; Institutes; Institution; Interdisciplinary Study; Investigation; Laboratories; Laboratory Study; Leadership; Malignant Neoplasms; Manuscripts; Medical Research; Methods; Microarray Analysis; Modeling; Monitor; Observational Study; Peer Review; Peer Review Grants; Play; Prevention Research; Problem Formulations; Procedures; Process; Proteomics; Protocols documentation; Reporting; Research; Research Design; Research Infrastructure; Research Institute; Research Methodology; Research Personnel; Research Project Grants; Resources; Role; Safety; Science; Scientific Advances and Accomplishments; Staging; Thinking; Time; Today; Translational Research; anticancer research; base; cancer education; cancer epidemiology; data management; data mining; database design; design; genetic linkage analysis; member; neoplasm resource; new technology; programs; protocol development; quality assurance; research study; statistics; tool

The major function of the Biostatistics Shared Resource (BSR) is to provide statistical collaboration and consultation to the members of the NYU Cancer Institute. The members of the BSR have played integral roles in cancer research at NYU and continue to expand their roles in new directions. Collaboration is provided to all basic science, clinical, and translational research programs, and to the core research services. The members of the BSR provide statistical expertise in research study design, conduct, analysis, interpretation, and reporting of results for laboratory studies, clinical trials, and observational studies. Specific objectives of the BSR include: Collaboration in the design, conduct, analysis, interpretation, and reporting of clinical, translational, basic science laboratory, and cancer epidemiology and prevention research studies. Collaboration for development of new research initiatives; for development of applications for peerreviewed funding; for short-term research projects to develop pilot data or to prepare manuscripts; for infrastructure initiatives. Collaboration with the Clinical Trials Office for informatics, for clinical protocol development and implementation, for data management processes and procedures, for data safety monitoring. Collaboration in the development of new areas of research including translational research, genomics and the analysis of gene expression data, proteomics, data mining from multiple databases for exploratory analyses, genetic linkage and association studies, clinical trial designs, and informatics and bioinformatics support and collaboration for new areas of research. Development of statistical approaches for study design and analysis as needed to meet the objectives of research projects. Education of Cancer Institute members and staff in study design, research methods, and analysis and interpretation of cancer studies.

生物统计学共享资源（BSR）的主要功能是提供统计协作和 与纽约大学癌症研究所成员进行协商。 BSR的成员扮演了不可或缺的 在纽约大学的癌症研究中的角色，并继续在新方向上扩大角色。协作是 提供给所有基础科学，临床和翻译研究计划，以及核心研究 服务。 BSR的成员在研究设计，行为，分析， 解释和报告实验室研究，临床试验和观察性研究结果。 BSR的特定目标包括： 临床，转化，基本的设计，行为，分析，解释和报告的合作 科学实验室以及癌症流行病学与预防研究。 开发新研究计划的合作；用于开发同行浏览的申请 资金;对于短期研究项目，以制定试点数据或准备手稿；为了 基础设施计划。 与临床试验办公室的信息学，临床方案开发和 实施，用于数据管理过程和程序，用于数据安全监控。 在新的研究领域发展方面的合作，包括转化研究，基因组学 以及基因表达数据，蛋白质组学，来自多个数据库的数据挖掘的分析以进行探索 分析，遗传联系与关联研究，临床试验设计以及信息学和生物信息学 支持和协作新的研究领域。 根据需要开发研究设计和分析的统计方法 研究项目。 癌症研究所成员和研究人员教育研究设计，研究方法和分析以及 癌症研究的解释。