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 抽象的 癌症生物统计学（CB）共享资源提供了最新的生物统计学和研究设计 亨斯曼癌症研究所的实验室，转化，临床和人口科学研究人员的支持 （HCI）。它是犹他大学（U）研究设计与生物统计学中心（SDBC）的一部分， U健康科学中心U及其国家健康研究所的生物统计学核心 翻译科学奖临床与转化科学中心（CCTS）。 CB共享资源由肯尼斯·布歇（Kenneth Boucher）博士领导，他是一位成熟的生物统治者和 癌症中心成员自1996年以来，包括五名具有专门癌症研究专业知识的人员。 Boucher博士与SDBC主任Tom Greene博士密切协调，高级生物统计学家 作为NIH和行业赞助的多中心的主要统计学家，有25年以上的经验 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，以支持研究过程的所有阶段 受益于癌症中心成员，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 分析，多元方法，荟萃分析，贝叶斯模型，计算统计，诊断测试， 比较有效性研究，现代因果推断，调查设计和问卷开发， 项目响应理论和计算机自适应测试以及统计遗传学和基因组学。此外 提供统计分析，CB共享资源为制定研究提供了指导 目标，开发信息丰富有效的研究设计，实施随机程序， 调查的设计和实施，选择适当的工具和开发新的 衡量健康结果的工具，制定适当的收集程序和 安全存储数据，在数据分析之前的预定分析计划的协作制定以及 出版物和口头演示中数据的解释和介绍。 CB共享资源位于HCI大楼中，可直接在现场访问资源 整个研究过程的所有阶段的用户。 CB共享资源的重要性是 由其广泛的用户及其对众多出版物的贡献所展示的，其中许多是引人注目的 期刊。 2013年，癌症中心调查人员使用同行评审的资金使用CB共享资源 超过66％，而CCSG预算请求仅占拟议预算总预算的6％（$ 46,388）。