Administration, Biostatistics, and Research Coordination
Administration, Biostatistics, and Research Coordination
批准号:
8555172
负责人:
BART BARLOGIE
金额:
$90.96万
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-06-05 至 2014-08-31
关键词:
ArkansasAttentionBioinformaticsBiometryBone MarrowCharacteristicsClinicalClinical TrialsCommunitiesDataData CollectionDatabasesEnsureFundingGoalsGrowthImageIndividualLaboratoriesLinkMagnetic Resonance ImagingMeasurementMethodsMultiple MyelomaOffice of Administrative ManagementPatientsPhasePositron-Emission TomographyPostdoctoral FellowResearchResearch ActivityResearch DesignResearch InfrastructureResearch PersonnelRetrievalRunningSamplingSolidStructureSystemTherapeutic InterventionTimeanticancer researchbasedata managementdesignfightingfollow-upinnovationoperationprognosticprogramssuccess
中文摘要
CORE A将MIRT管理部门的坚实支持与癌症研究和生物统计学(CRB)的创新以及我们数据管理团队对细节的高度关注结合在一起,以确保所有P01项目和核心的工作既有形又容易获得。P01的结构提供了严重依赖于大型患者转诊基础的发现,这些基础和长期跟踪;综合的基础-临床调查;在我们的多发性骨髓瘤(MM)数据库(MMDB)系统中,通过全面的临床过程和治疗干预注释以及样本和实验室相关性的综合注释,在历史患者的背景下解释结果的统计能力。我们创造了一个史无前例的宝库,根据采购时的治疗阶段以及对几乎所有患者的系列MRI和PET-CT研究,连续获得骨髓样本。这些丰富的数据需要坚实的行政和数据管理基础设施来维持其有效性和实用性。核心A通过管理、生物统计和研究协调部分提供这一点,这些部分旨在支持4个项目和4个额外的核心。AIM 1将提供行政支持,使整个方案项目能够作为一个整体发挥作用。在过去15年的资助中,该计划平均支持了30名绩效指标和合作伙伴,以及60多名研究助理/助理、博士后研究员和其他研究人员。行政部门将继续确保向所有项目和核心提供支助,以便协调研究活动并进行适当的互动,以实现本方案项目的目标。目标2将把生物统计学原理和数据管理方法应用于方案项目研究,以努力确保深入和及时地关注数据收集的所有方面,以及执行日益复杂的生物统计分析和生物信息学。通过CRAB的创新努力,生物统计学部分将继续使该项目的研究人员能够将研究设计、数据收集、测量和分析与正在调查的研究假设和研究问题联系起来。AIM 3将提供研究协调,确保及时和准确地识别和检索与MIRT患者相关的所有数据,包括独特的患者特征,包括预后特征、治疗干预措施以及系列GEP和成像数据。
英文摘要
Core A combines the solid support of MIRT administration with the innovation of Cancer Research and Biostatistics (CRAB) and the superb attention to detail of our data management team to ensure the efforts of all P01 projects and cores are both tangible and accessible. The structure of this P01 has afforded discoveries that were critically dependent on a large patient referral base with fight, long-term follow-up; integrated basic-clinical investigation; and statistical power to interpret findings in the context of historical patients with comprehensive annotations of clinical course and therapeutic interventions as well as availability of samples and laboratory correlates in our multiple myeloma (MM) database (MMDB) system. We have generated an unprecedented treasure of serially obtained bone marrow samples annotated according to the phase of therapy at the time of procurement as well as serial MRI and PET-CT studies for virtually all patients. This wealth of data requires a solid administrative and data management infrastructure to maintain its validity and utility. Core A provides this through Administration, Biostatistics, and Research Coordination components that have been designed to support 4 projects and 4 additional cores. Aim 1 will provide administrative support to enable the entire Program Project to function as an integrated whole. Over the previous 15 years of funding, this program has supported, on average, 30 PIs and Co-Is and more than 60 Research Associates/Assistants, Post-doctoral Fellows, and other research personnel. The Administration Component will continue to ensure that support is provided to all projects and cores, so research activities are coordinated and have appropriate interactions to accomplish the goals of this Program Project. Aim 2 will apply biostatistical principles and data management methods to Program Project studies in an effort to ensure in-depth and timely attention to all aspects of data collection as well as execution of increasingly sophisticated biostatistical analyses and bioinformatics. The Biostatistics component, through the innovative efforts of CRAB, will continue to enable researchers of this program to link study design, data collection, measurement, and analysis to the research hypotheses and research questions being investigated. Aim 3 will provide research coordination that ensures the timely and accurate identification and retrieval of all data associated with MIRT patients in the context of unique patient characteristics, including prognostic features, therapeutic interventions, and serial GEP and imaging data.
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