Statistical and Data Management Core
统计和数据管理核心
基本信息
- 批准号:10361408
- 负责人:
- 金额:$ 45.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-03-15 至 2025-02-28
- 项目状态:未结题
- 来源:
- 关键词:AddressAdherenceAdolescenceAdultAgeBehaviorBehavioralCardiovascular DiseasesChildChild WelfareChildhoodClinical TrialsComplexConsultationsCore FacilityDataData CollectionDevelopmentDiseaseEducational workshopEmotionalEnvironmentFacultyFeasibility StudiesFoundationsHealthHospitalsHuman ResourcesIndividualInstitutionInterventionIntervention StudiesIntervention TrialLaboratoriesLeadershipMediationMental disordersMentorsMethodologyMethodsMissionObesityOutcomeOutcome StudyPersonnel StaffingPhasePilot ProjectsPreventionPrevention ResearchPrevention trialProblem behaviorProceduresPsyche structurePublic HealthRandomizedResearchResearch ActivityResearch PersonnelResearch Project GrantsResearch SupportResourcesRiskRisk ReductionScientistSenior ScientistServicesStatistical Data InterpretationStructureSubstance abuse problemTimeTrainingUniversitiesUpdateVisionbasecareercohortdata managementdesignexperienceimplementation interventionmemberpreventive interventionrecruitresponsestatistical servicestatisticsunhealthy lifestyle
项目摘要
The Research Center for Child Well-Being focuses on prevention and intervention research aimed at reducing
risk for mental, emotional, and behavioral problems and unhealthy lifestyle behaviors in children ages 2-10.
Preventive intervention outcome trials constitute a major portion of the Center’s research activities. A critical
component of the Center is the Statistical and Data Management Core facility (SDM Core), which supports the
Center’s research efforts and especially the early-stage investigators. Preventive intervention outcome studies,
which are generally field-based rather than delivered in a laboratory or hospital setting, make substantial
demands on the resources and capacities directly available to individual investigators. For the Center’s early-
stage investigators in particular, the provision of data management and statistical analytic services by the SDM
Core is essential in making prevention studies feasible, so that the investigators can focus all of their project
resources exclusively on recruitment, intervention implementation, and data collection. The SDM Core is
structured and staffed to address the many issues arising in preventive intervention outcome studies, such as
power concerns, multi-level designs, moderation and mediation analyses, missing data issues, complier
average causal effect to address differences in intervention adherence. The Center investigators, as well as
other prevention researchers at the institution, benefit substantially from the experienced statistical and other
technical personnel comprising the SDM Core. The specific aims for the SDM Core are: (1) To establish the
facilities and assemble the technical and scientific personnel necessary for high-quality statistical and data-
management services pertinent to the early-stage investigators’ conduct of preventive intervention clinical trials
and related studies; (2) To support research projects led by the Center’s early-stage investigators, which
involves provision of: (a) consultation for design and analytic planning, (b) data management services, (c)
statistical programming and analysis, and (d) assistance in interpretation of analyses; (3) To provide workshop
training and updates on prevention-related developments in methodology and statistics to enable Center early-
career and senior scientists, as well as other prevention scientists on campus, to better understand new or
complex methods; (4) To advance ways to optimize methods and applications in statistical analyses and
programming, in the context of the Center’s prevention research. SDM Core support helps to enable the
Center’s mission by: (a) contributing to the scientific environment conducive to early-stage investigators
moving to independent research status; (b) utilizing, and keeping investigators abreast of, methodological
advances pertinent to preventive intervention trials; and, (c) strengthening the institution’s capacity to meet the
data-management and statistical requirements of high-quality preventive intervention trials conducted by the
early-stage investigators in particular.
儿童福利研究中心专注于预防和干预研究,旨在减少
2-10岁儿童的精神、情感和行为问题以及不健康的生活方式行为的风险。
预防性干预结果试验是该中心研究活动的主要部分。一个关键
该中心的组成部分是统计和数据管理核心设施(SDM核心),它支持
中心的研究工作,特别是早期的研究人员。预防性干预结果研究,
其通常基于现场而不是在实验室或医院环境中递送,
对调查员个人可直接利用的资源和能力的需求。对于中心的早期-
特别是阶段调查员,SDM提供数据管理和统计分析服务
核心是必不可少的,使预防研究可行,使研究人员可以集中所有的项目
专门用于招募、实施干预措施和收集数据的资源。SDM核心是
结构和人员配备,以解决预防干预结果研究中出现的许多问题,如
权力问题、多级设计、审核和调解分析、缺失数据问题、编译器
平均因果效应,以解决干预依从性的差异。中心的研究人员,以及
该机构的其他预防研究人员,从经验丰富的统计和其他
技术人员组成SDM核心。可持续发展机制核心的具体目标是:(1)建立
设施和汇集高质量统计和数据所需的技术和科学人员,
与早期研究者开展预防性干预临床试验相关的管理服务
(2)支持中心早期研究人员领导的研究项目,
涉及提供:(a)设计和分析规划咨询,(B)数据管理服务,(c)
统计方案编制和分析;(d)协助解释分析;(3)举办讲习班
提供培训和更新方法和统计方面与预防有关的发展情况,使中心能够尽早
职业和高级科学家,以及校园内的其他预防科学家,以更好地了解新的或
(4)提出优化统计分析方法和应用的方法,
在该中心的预防研究范围内,制定方案。SDM核心支持有助于实现
中心的使命是:(a)促进有利于早期研究人员的科学环境
转向独立研究状态;(B)利用并使研究者了解方法学
预防性干预试验方面的进展;以及(c)加强该机构的能力,
高质量预防性干预试验的数据管理和统计要求
尤其是早期的研究人员。
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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Marco Geraci的其他文献
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{{ truncateString('Marco Geraci', 18)}}的其他基金
Modeling and estimation of nonlinear quantile effects in child health research
儿童健康研究中非线性分位数效应的建模和估计
- 批准号:
9109261 - 财政年份:2016
- 资助金额:
$ 45.11万 - 项目类别:
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