Data Management and Statistical Analysis Core (Core C)
Data Management and Statistical Analysis Core (Core C)
批准号:
10405116
负责人:
Thomas Glenn Travison
金额:
$42.85万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
未结题
起止时间:
2018-09-15 至 2025-05-31
关键词:
AddressAgingAlgorithmsAlzheimer&aposs DiseaseAreaBiologicalBiological AssayBiological MarkersBiometryBrainCohort AnalysisCohort StudiesCollaborationsComplexDataData AnalysesData AnalyticsData ScienceData SecurityData Storage and RetrievalDatabasesDeliriumDementiaDevelopmentEnrollmentEnsureEnvironmentExperimental DesignsFacultyFundingGoalsHuman ResourcesImageImage AnalysisIncidenceInformation ManagementInformation ResourcesInfrastructureInterviewLeadershipMachine LearningMaintenanceManuscriptsMatched Case-Control StudyMedical RecordsMetadataMethodologyMethodsModelingModernizationMultivariate AnalysisObservational StudyOperations ResearchOperative Surgical ProceduresOutcomeParticipantPhysical FunctionPlayPrevention strategyProceduresProductionProductivityProtocols documentationPublicationsQuality ControlReportingReproducibilityResearchResearch DesignResearch PersonnelResourcesRiskRoleSafetySample SizeSamplingScheduleScienceScientistSeasonsSecureSourceSpecimenStandardizationStatistical Data InterpretationStructureSupervisionSystemTestingTimeVisitWorkcase controlclinically significantcognitive developmentcognitive functioncognitive reservecohortcomputing resourcescost effectivedata cleaningdata infrastructuredata managementdata qualitydesignexperienceinnovationmethod developmentmultiple chronic conditionsnoveloperationparticipant enrollmentpeer supportpreservationprogramssafety studysuccesstherapy developmenttoolweb-enabled
中文摘要
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英文摘要
ABSTRACT
The study of delirium, and its relationship to dementia and Alzheimer's Disease, presents distinct quantitative
challenges, including elevated risk of participant attrition and confounding of associations via the influences of
surgery and multimorbidity. The Data Management and Statistical Analysis (DMSA) Core (Core C) has been
developed to address these challenges. The overall goal of the DMSA Core is to provide data management
and biostatistical resources and expertise promoting best statistical and scientific practices within this Program
Project. DMSA activities are directed toward the three mutually reinforcing Specific Aims: (1) to develop
infrastructure for data capture and metadata management; (2) to develop and maintain secure data
management infrastructure; and (3) to provide comprehensive statistical and data management support,
including novel methods development, to each of the five projects. The DMSA's leadership has substantial
expertise in observational studies, experimental design, longitudinal multivariate analysis, biomarker analysis,
scale development, machine learning, and missing data, and is seasoned in the leadership of data science
teams. Its skilled staff are substantially experienced in the acquisition and management of high quality data, as
illustrated by the extremely successful data capture and completeness initiatives developed in the initial
funding cycle. Core faculty maintain active and highly productive collaborative relationships with the SAGES
investigators. Additionally, the DMSA provides key venues for collaboration, supervision and peer support of its
faculty and personnel; maintenance of efficiency and productivity; and surety of quality control around data and
analytic issues. The DMSA has embedded continuous innovation in its operations; examples of this innovation
include novel scale development for cognitive and physical function; extended matching algorithms in
case/control design, and the development of novel and integrated web-enabled data management and
analysis tools, which enhance the reproducibility of scientific findings. The DMSA will provide the venue for
efficient and cost effective information management and data analysis of the five projects proposed here; the
feasibility of this ambitious effort is demonstrated by our success in the initial funding cycle and our well-
developed research operations model. This Program Project has tremendous potential to advance the science
of delirium, leading ultimately to the development of interventions targeting its incidence and sequelae.
Ultimately, this Program Project holds tremendous potential to advance our understanding of delirium, and to
develop more effective strategies for prevention and treatment of delirium and associated conditions and
complications. The DMSA will play a critical role in its success.
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Biostatistics and Data Science Core
-
批准号:10470358
-
项目类别:
-
资助金额:$24.6万
-
财政年份:2008
-
负责人:Thomas Glenn Travison
-
依托单位:
Biostatistics and Data Science Core
-
批准号:10293914
-
项目类别:
-
资助金额:$25.54万
-
财政年份:2008
-
负责人:Thomas Glenn Travison
-
依托单位:
Biostatistics and Data Science Core
-
批准号:10678847
-
项目类别:
-
资助金额:$20.78万
-
财政年份:2008
-
负责人:Thomas Glenn Travison
-
依托单位:
Biostatistics Data Analysis Core
-
批准号:9301433
-
项目类别:
-
资助金额:$18.96万
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财政年份:--
-
负责人:Thomas Glenn Travison
-
依托单位:
海外基金