Data Management and Statistical Core
Data Management and Statistical Core
批准号:
10228127
负责人:
Walter K Kremers
金额:
$2.51万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-15 至 2024-06-30
关键词:
AddressAffectAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaBackBehavior assessmentBiologicalBiological MarkersBloodBrainCerebrospinal FluidClinicalClinical DataCollectionCommunitiesComplexDataData AnalysesData Storage and RetrievalDatabasesDerivation procedureDevelopmentDiseaseEnrollmentFrontotemporal Lobar DegenerationsFundingFutureGeneticGoalsHousingImageInfrastructureLaboratoriesLiquid substanceMeasurementMeasuresMethodologyMethodsModelingMutationNeuropsychologyParticipantPatientsPersonsProtocols documentationPsychometricsRegistriesReportingResearchResearch DesignResearch PersonnelSamplingSecureStructureSymptomsTimeWorkclinical centercognitive testingdata exchangedata infrastructuredata managementdata sharingdata warehouseelectronic datahigh riskimprovedmemberneuroimagingrecruitrelational databaserepositorytooltool developmenttreatment trial
中文摘要
摘要-ALLFTD-数据管理和统计核心
数据管理和统计核心支持ARTFL LEFFTDS纵向目标
通过维护安全、最先进的关系数据库实现额颞叶退化(ALLFTD)
对于参与者数据的收集,通过与ALLFTD核心、项目和调查人员共享这些数据
ALLFTD内部和外部以及各种国家数据储存库,并通过协助
全系统的统计规划和分析。使用先前构建的符合21 CFR Part 11的
数据库核心将使用和改进现有的实时数据自动化工具,并开发新的自动化工具
录入和检查,向中心和临床中心报告数据问题,并帮助教育
如何确保未来数据录入的更高质量。核心将继续使用和开发新工具
在可行的情况下用于电子数据捕获。通过这种方式,核心将与其他核心密切合作,并
临床中心,以确保高效和准确的数据输入和捕获。核心将协助患者
跟踪、招募和保留研究参与者有助于交换参与者样本和
ALLFDTD联盟内以及包括国家阿尔茨海默氏症在内的其他研究组织的数据
阿尔茨海默病及相关痴呆症国家中心协调中心
(NCRAD)、神经影像实验室(LONI)和FTD障碍登记处(FTDDR)。(ALLFTD将共同-
招募符合条件的患者参加FTDDR。)核心将在核心之间以及与项目之间共享数据
作为ALLFTD内部和外部的调查人员。核心将为所有核心和
项目,协助研究设计、统计规划、结果分析和解释,并与
在需要时开发和实施新方法,就像开发新的
ALLFTD中使用的心理测量测量的改进标准值的推导方法,以及
贝叶斯混合效应模型更好地估计全脑结构轨迹
纵向数据。在审查ALLFTD联盟调查人员的数据请求时,核心将审查
这些应用程序不仅涉及数据问题,而且还审查研究设计和分析计划,并将提供
有益时的统计指导。
英文摘要
ABSTRACT – ALLFTD – DATA MANAGEMENT AND STATISTICAL CORE
The Data Management and Statistical Core supports the goals of the ARTFL LEFFTDS Longitudinal
Frontotemporal Lobar Degeneration (ALLFTD) by maintaining a secure, state-of-the art relational database
for the collection of participant data, by sharing these data with ALLFTD Cores, Projects and investigators both
internal and external to ALLFTD as well as various national data repositories, and by assisting with the
statistical planning and analysis across ALLFTD. Using the previously constructed, 21 CFR Part 11 Compliant
database the Core will use and improve upon existing and develop new automated tools for real time data
entry and checking, reporting back to the Cores and Clinical Centers with data issues, and help educate on
how to assure higher quality for future data entries. The Core will continue to work with and develop new tools
for electronic data capture when feasible. In this way the Core will work closely with the other Cores and
Clinical Centers to assure efficient and accurate data entry and capture. The Core will assist with patient
tracking and recruitment and retention of study participants assist with exchange of participant samples and
data within the ALLFDTD consortium and with other research groups including the National Alzheimer’s
Coordinating Center (NACC), National Centralized Repository for Alzheimer's Disease and Related Dementias
(NCRAD), the Laboratory of Neuroimaging (LONI) and the FTD Disorders Registry (FTDDR). (ALLFTD will co-
enroll eligible patients in FTDDR.) The Core will share data between the Cores and with the Projects as well
as investigators internal and external to ALLFTD. The Core will provide statistical support to all Core and
Projects, assisting with study design, statistical planning, analysis and interpretation of results, and work with
the development and implementation of new methods when needed, like with the development of new
methods for the derivation of improved normative values for the psychometric measures used in ALLFTD, and
Bayesian Mixed Effects Models to obtain better estimates of whole-brain structural trajectories from
longitudinal data. When reviewing data requests from ALLFTD consortium investigators the Core will review
the applications not only for data matters, but also review study design and analyses plans and will offer
statistical guidance when beneficial.
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Data Management and Statistical Core
-
批准号:10657555
-
项目类别:
-
资助金额:$24.2万
-
财政年份:2019
-
负责人:Walter K Kremers
-
依托单位:
Data Management and Statistical Core
-
批准号:10413832
-
项目类别:
-
资助金额:$36.76万
-
财政年份:2019
-
负责人:Walter K Kremers
-
依托单位:
Data Management and Statistical Core
-
批准号:10450018
-
项目类别:
-
资助金额:$84.08万
-
财政年份:2019
-
负责人:Walter K Kremers
-
依托单位:
Data Management and Statistical Core
-
批准号:9802928
-
项目类别:
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资助金额:$86.97万
-
财政年份:2019
-
负责人:Walter K Kremers
-
依托单位:
Data Management and Statistical Core
-
批准号:10208703
-
项目类别:
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资助金额:$84.08万
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财政年份:2019
-
负责人:Walter K Kremers
-
依托单位:
Data Management and Statistical Core
-
批准号:10017889
-
项目类别:
-
资助金额:$84.08万
-
财政年份:--
-
负责人:Walter K Kremers
-
依托单位:
海外基金