The Center for Innovation in Intensive Longitudinal Studies (CIILS)
The Center for Innovation in Intensive Longitudinal Studies (CIILS)
批准号:
10561102
负责人:
Sy-Miin Chow
金额:
$10.0万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-07-05 至 2023-08-31
关键词:
2019-nCoVAddressAdministrative PersonnelAdministrative SupplementAffectBehaviorBehavior TherapyCOVID-19 pandemicCollectionDataData CollectionData PoolingData SecurityData SetEcological momentary assessmentFundingFutureGeographic LocationsGoalsHealthHealth SciencesHealth behaviorHealth behavior changeIndividualInterventionLeadLongitudinal StudiesMeasuresMethodologyMethodsModelingMovementParentsPatient Self-ReportPatternPennsylvaniaPersonsPreventionRecording of previous eventsResearchResearch ActivityRoleScienceScientistShapesSiteTechniquesTimeTranslationsUniversitiesanalytical methodbasedata curationdata handlingdata modelingdata sharingdesigndigitalinnovationinterestmHealthmultiple data typesnovelparent projectpatient engagementresponsesecondary analysissensorsocialstudy populationsubstance usetheories
中文摘要
项目总结
密集的纵向行为网络(ILHBN)提供了前所未有的
推进和塑造健康行为科学和技术未来格局的机会
相关干预实践。集约化纵向研究创新中心
(CIILS)位于宾夕法尼亚州立大学(宾夕法尼亚州立大学),汇集了
跨学科团队协同支持和协调跨领域的研究活动
多样化的预期U01项目组合,以实现网络的更大目标
持续创新使用集约纵向数据(ILD)和相关数据
方法研究健康行为变化及健康相关干预措施。这个
拟议的行政补充将为CIILS提供一年的延期,包括
继续协调ILHBN活动的资金,并加强以下方面的集体影响
该网络通过实现以下目标来实现。首先,我们将继续管理所有
ILHBN的行政和监管方面。第二,我们将与
U01网站协同推进健康行为理论和科学
通过帮助编辑、整理、协调、共享和分析数据来干预实践
汇集多个父项目以解决常见的交叉研究问题
利息。第三,我们将领导一个交叉研究项目,以探索缺失的数据模式和
自报告情感和基于传感器的运动数据的建模方法。
英文摘要
PROJECT SUMMARY
The Intensive Longitudinal Behavior Network (ILHBN) provides an unprecedented
opportunity to advance and shape the future landscape of health behavior science and
related intervention practice. The Center for Innovation in Intensive Longitudinal Studies
(CIILS), housed at the Pennsylvania State University (Penn State), brings together an
interdisciplinary team to synergistically support and coordinate research activities across
a diverse portfolio of anticipated U01 projects to accomplish the Network's larger goal of
sustained innovation in the use of intensive longitudinal data (ILD) and associated
methods in the study of health behavior change and health-related interventions. The
proposed administrative supplement will provide CIILS with a one-year extension with
funds to continue coordination of ILHBN activities, and enhance the collective impacts of
the Network by accomplishing the following aims. First, we will continue to manage all
administrative and regulatory aspects of ILHBN. Second, we will collaborate with the
U01 sites to synergistically advance the science of health behavior theory and
intervention practice by helping to compile, curate, harmonize, share, and analyze data
pooled across several parent projects to address common cross-study questions of
interest. Third, we will lead a cross-study project to explore missing data patterns and
modeling methods for self-report affect and sensor-based movement data.
期刊论文(11)
专著(0)
科研奖励(0)
会议论文
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DOI:
10.1080/00273171.2019.1566050
发表时间:
2019-09-03
期刊:
MULTIVARIATE BEHAVIORAL RESEARCH
影响因子:
3.8
作者:
[Chow, Sy-Miin]
通讯作者:
Chow, Sy-Miin
Estimation of nonlinear mixed-effects continuous-time models using the continuous-discrete extended Kalman filter.
使用连续离散扩展卡尔曼滤波器估计非线性混合效应连续时间模型。
DOI:
10.1111/bmsp.12318
发表时间:
2023
期刊:
The British journal of mathematical and statistical psychology
影响因子:
--
作者:
[Ou,Lu, Hunter,MichaelD, Lu,Zhaohua, Stifter,CynthiaA, Chow,Sy-Miin]
通讯作者:
Chow,Sy-Miin
DOI:
10.1080/00273171.2023.2235685
发表时间:
2023
期刊:
Multivariate Behavioral Research
影响因子:
3.8
作者:
[Park, Jonathan J., Fisher, Zachary F., Chow, Sy-Miin, Molenaar, Peter C.]
通讯作者:
Molenaar, Peter C.
On Subgrouping Continuous Processes in Discrete Time
关于离散时间连续过程的子组
DOI:
10.1080/00273171.2022.2160957
发表时间:
2023
期刊:
Multivariate Behavioral Research
影响因子:
3.8
作者:
[Park, Jonathan J., Fisher, Zachary, Chow, Sy-Miin, Molenaar, Peter C.]
通讯作者:
Molenaar, Peter C.
The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data.
差异时变效应模型(DTVEM):用于密集纵向数据中诊断和建模时间滞后的工具。
DOI:
10.3758/s13428-018-1101-0
发表时间:
2019-03
期刊:
Behavior research methods
影响因子:
5.4
作者:
[Jacobson NC, Chow SM, Newman MG]
通讯作者:
Newman MG
共 10 条
The Center for Innovation in Intensive Longitudinal Studies (CIILS)
-
批准号:9788202
-
项目类别:
-
资助金额:$46.55万
-
财政年份:2018
-
负责人:Sy-Miin Chow
-
依托单位:
海外基金