Cancer Biostatistics (CB)

癌症生物统计学（CB）

• 批准号: 9918329
• 负责人: Kenneth Michael Boucher
• 金额: $ 1.11万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9918329
• 关键词: Abbreviations; Bayesian Modeling; Biometry; Biostatistics Core; Biostatistics Shared Resource; Budgets; Cancer Center; Cancer Center Support Grant; Cancer Control; Cells; Clinical Sciences; Clinical Trials; Clinical and Translational Science Awards; Collection; Computers; Data; Data Analyses; Data Storage and Retrieval; Development; Device or Instrument Development; Diagnostic tests; Differentiation and Growth; Doctor of Philosophy; Ensure; Epidemiologist; Epidemiology; Formulation; Funding; Genetic; Genomics; Health; Health Sciences; Human Resources; Industry; Institutes; Interdisciplinary Study; Investigational Therapies; Journals; Laboratories; Lead; Malignant Neoplasms; Marshal; Measurement; Mentors; Meta-Analysis; Methods; Modeling; Modernization; Monitor; Multi-Institutional Clinical Trial; Nuclear; Observational Study; Online Systems; Oral; Outcome; Peer Review; Population Sciences; Principal Investigator; Procedures; Process; Program Evaluation; Publications; Qualitative Research; Questionnaires; Randomized; Regulation; Research; Research Design; Research Personnel; Research Support; Resources; Sample Size; Secure; Site; Specific qualifier value; Statistical Data Interpretation; Statistical Methods; Study Section; Surveys; Survival Analysis; System; Testing; Time; Translational Research; United States National Institutes of Health; Universities; Utah; Work; acronyms; anticancer research; cell growth; comparative effectiveness; design; effectiveness research; experience; instrument; member; programs; response; statistics; theories

CANCER BIOSTATISTICS SHARED RESOURCE ABSTRACT The Cancer Biostatistics (CB) Shared Resource provides state-of-the-art biostatistics and research design support to laboratory, translational, clinical, and population sciences investigators at Huntsman Cancer Institute (HCI). It is a section of the University of Utah (U of U) Study Design and Biostatistics Center (SDBC), the biostatistics core of the U of U Health Sciences Center and its National Institutes of Health Clinical and Translational Science Award-supported Center for Clinical and Translational Science (CCTS). The CB Shared Resource is led by Kenneth Boucher, PhD, an accomplished biostatistician and a Cancer Center member since 1996, and includes five personnel with specialized cancer research expertise. Dr. Boucher works in close coordination with Tom Greene, PhD, SDBC Director, a senior biostatistician with more than 25 years of experience serving as the lead statistician for NIH- and industry-sponsored multi-center clinical trials and other large-scale multidisciplinary research efforts. The CB Shared Resource arranges statistical teams to support all stages of the research process to benefit Cancer Center members, providing HCI researchers with integrated statistical and epidemiologic expertise in study design, health measurement, and data analysis. This expertise includes clinical trial and observational study design, longitudinal data analysis, linear and nonlinear mixed effects models, survival analysis, multivariate methods, meta-analysis, Bayesian models, computational statistics, diagnostic testing, comparative effectiveness research, modern causal inference, survey design and questionnaire development, item response theory and computer adaptive testing, and statistical genetics and genomics. In addition to providing statistical analyses, the CB Shared Resource provides guidance in formulation of research objectives, development of informative and efficient study designs, implementation of randomized procedures, design and implementation of surveys, selection of appropriate instruments and development of new instruments for measurement of health outcomes, development of appropriate procedures for collection and secure storage of data, collaborative formulation of pre-specified analysis plans prior to data analysis, and interpretation and presentation of data in publications and oral presentations. The CB Shared Resource is located in the HCI building, providing direct on-site access to resource users throughout all stages of the research process. The importance of the CB Shared Resource is demonstrated by its wide array of users and its contributions to numerous publications, many in high-profile journals. In 2013, use of the CB Shared Resource by Cancer Center investigators with peer-reviewed funding exceeded 66%, while the CCSG budget request is only 6% ($46,388) of the total proposed budget.

癌症生物统计学共享资源 摘要 癌症生物统计学（CB）共享资源提供最先进的生物统计学和研究设计 支持亨斯迈癌症研究所的实验室、转化、临床和人口科学研究人员 （HCI）。它是犹他州大学（U of U）研究设计和生物统计学中心（SDBC）的一个部门， U健康科学中心及其国立卫生研究院临床和生物统计学核心 临床与转化科学中心（Center for Clinical and Translational Science，CCTS） CB共享资源由Kenneth Boucher博士领导，他是一位有成就的生物统计学家， 癌症中心成员自1996年以来，包括五名具有专门癌症研究专长的人员。 博士Boucher与SDBC主任、高级生物统计学家Tom格林博士密切合作， 拥有超过25年的经验，担任NIH和行业赞助的多中心的首席统计师 临床试验和其他大规模的多学科研究工作。 CB共享资源安排统计团队支持研究过程的所有阶段， 癌症中心成员受益，为HCI研究人员提供综合统计和流行病学 研究设计、健康测量和数据分析方面的专业知识。该专业知识包括临床试验和 观察性研究设计、纵向数据分析、线性和非线性混合效应模型、生存期 分析，多变量方法，荟萃分析，贝叶斯模型，计算统计，诊断测试， 比较有效性研究、现代因果推理、调查设计和问卷编制， 项目反应理论和计算机自适应测试，以及统计遗传学和基因组学。除了 通过提供统计分析，CB共享资源为研究的制定提供了指导 目的，开发信息丰富和有效的研究设计，实施随机化程序， 设计和实施调查，选择适当的工具， 衡量健康结果的工具，制定适当的收集程序， 数据的安全存储，在数据分析之前协作制定预先指定的分析计划，以及 在出版物和口头报告中解释和介绍数据。 CB共享资源位于HCI大楼内，可直接现场访问资源 用户在研究过程的各个阶段。CB共享资源的重要性在于 这一点体现在其广泛的用户群以及对许多出版物的贡献，其中许多出版物是高知名度的， 期刊2013年，癌症中心研究人员利用同行评审资金使用CB共享资源 超过66%，而CCSG的预算请求仅占拟议预算总额的6%（46，388美元）。