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
核心A将MIRT管理的坚实支持与癌症研究和生物统计学(CRAB)的创新以及我们数据管理团队对细节的高度关注相结合,以确保所有P01项目和核心的努力都是有形的和可访问的。该P01的结构提供了一些发现,这些发现严重依赖于大型患者转诊基础,并进行了长期随访;综合基础临床研究;在我们的多发性骨髓瘤(MM)数据库(MMDB)中,在历史患者的背景下解释结果的统计学把握度,包括临床病程和治疗干预的全面注释以及样本和实验室相关性的可用性系统我们已经为几乎所有患者生成了一个前所未有的宝藏,即根据采购时的治疗阶段进行注释的连续获得的骨髓样本以及连续MRI和PET-CT研究。这些丰富的数据需要一个坚实的管理和数据管理基础设施来保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组件提供这一服务,这些组件旨在支持4个项目和4个额外的核心。目标1将提供行政支持,使整个计划项目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PI和Co-Is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为所有项目和核心提供支持,以便协调研究活动并进行适当的互动,以实现本计划项目的目标。目标2将生物统计学原理和数据管理方法应用于计划项目研究,以确保对数据收集的各个方面以及日益复杂的生物统计学分析和生物信息学的执行进行深入和及时的关注。通过CRAB的创新努力,生物统计学部分将继续使该计划的研究人员能够将研究设计,数据收集,测量和分析与研究假设和研究问题联系起来。目标3将提供研究协调,确保及时准确地识别和检索与MIRT患者相关的所有数据,这些数据是在独特的患者特征背景下进行的,包括预后特征、治疗干预以及系列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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