Biostatics
生物静力学
基本信息
- 批准号:10017941
- 负责人:
- 金额:$ 32.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-18 至 2020-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressApplied ResearchBiometryBiostatistics CoreClinical ResearchClinical TrialsCollaborationsConduct Clinical TrialsDataEnrollmentEnsureExperimental DesignsFeasibility StudiesGoalsIn VitroLaboratoriesMethodsModernizationMonitorNeuroblastomaObservational StudyPaperPatient-Focused OutcomesPatientsPlayReportingReproducibility of ResultsResearchResearch DesignResistanceRoleScienceSpecimenStatistical Data InterpretationStatistical MethodsTechniquesTranslational Researchbasecomputerized data processingdata integritydata qualitydatabase designdesignearly phase clinical trialexperienceexperimental analysisexperimental studyhigh riskimprovedimproved outcomein vivolaboratory experimentmembernovelpatient safetyprogramssuccesstranslational study
项目摘要
SUMMARY/ABSTRACT
The use of modern statistical methods, analytic techniques, data processing and database design is necessary
in translational research in neuroblastoma (NB). The Biostatistics Core of this program project (PPG), which
comprises biostatistical experts in clinical and translational study design and analysis, Dr. Susan Groshen
(Core Director), Dr. Richard Sposto, and Dr. Yimei Li, and an experienced staff, will play the central role in
fulfilling this requirement. The primary responsibility of the Biostatistics Core is to ensure that appropriate and
efficient statistical designs and analyses are employed in the research. To this end, members of the
Biostatistics Core will involve themselves in the design of laboratory experiments and clinical studies
conducted during this program project. The Core will identify, adapt, or develop appropriate statistical design
and analysis methods, will analyze data, produce coherent and complete reports of the results of these
analyzes, and co-author papers reporting these results. In addition, the Biostatistics Core, collaborating with
Core B, will play an important role in developing and conducting clinical trials undertaken based on the results
of Projects 1 through 5, monitoring the safety of patients enrolled on these trials, and ensuring the quality and
integrity of the data collected from these trials. Core C is essential to the overall success of the translational
mandate of this Program.
摘要/摘要
需要使用现代统计方法、分析技术、数据处理和数据库设计
神经母细胞瘤(NB)的转化研究。该计划项目(PPG)的生物统计核心,
由临床和转化研究设计和分析方面的生物统计学专家 Susan Groshen 博士组成
(核心主任)Richard Sposto 博士和李一梅博士以及经验丰富的工作人员将在该项目中发挥核心作用
满足这个要求。生物统计核心的主要职责是确保适当和
研究中采用了有效的统计设计和分析。为此,委员会成员
生物统计核心将参与实验室实验和临床研究的设计
在此计划项目期间进行。核心将识别、调整或开发适当的统计设计
和分析方法,将分析数据,生成连贯且完整的结果报告
分析,以及报告这些结果的合著者论文。此外,生物统计核心与
核心B,将在开发和开展基于结果的临床试验中发挥重要作用
项目 1 至 5,监测参加这些试验的患者的安全性,并确保质量和
从这些试验中收集的数据的完整性。核心 C 对于转化的整体成功至关重要
本计划的任务。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yimei Li其他文献
Yimei Li的其他文献
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{{ truncateString('Yimei Li', 18)}}的其他基金
Innovative Statistical Analysis for Genome-Wide Data with General Interval-Censored Outcomes of Oral Health in Childhood Cancer Survivors
对全基因组数据的创新统计分析以及儿童癌症幸存者口腔健康的一般区间审查结果
- 批准号:
10532639 - 财政年份:2021
- 资助金额:
$ 32.95万 - 项目类别:
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