The Center for Innovation in Intensive Longitudinal Studies (CIILS)

强化纵向研究创新中心（CIILS）

• 批准号: 10561102
• 负责人: Sy-Miin Chow
• 金额: $ 10万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-05 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10561102
• 关键词: 2019-nCoV; Address; Administrative Personnel; Administrative Supplement; Affect; Behavior; Behavior Therapy; COVID-19 pandemic; Collection; Data; Data Collection; Data Pooling; Data Security; Data Set; Ecological momentary assessment; Funding; Future; Geographic Locations; Goals; Health; Health Sciences; Health behavior; Health behavior change; Individual; Intervention; Lead; Longitudinal Studies; Measures; Methodology; Methods; Modeling; Movement; Parents; Patient Self-Report; Pattern; Pennsylvania; Persons; Prevention; Recording of previous events; Research; Research Activity; Role; Science; Scientist; Shapes; Site; Techniques; Time; Translations; Universities; analytical method; base; data curation; data handling; data modeling; data sharing; design; digital; innovation; interest; mHealth; multiple data types; novel; parent project; patient engagement; response; secondary analysis; sensor; social; study population; substance use; theories

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.

项目总结

项目成果

Practical Tools and Guidelines for Exploring and Fitting Linear and Nonlinear Dynamical Systems Models

• 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

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
• 作者: Ou,Lu;Hunter,MichaelD;Lu,Zhaohua;Stifter,CynthiaA;Chow,Sy-Miin
• 通讯作者: Chow,Sy-Miin

Evaluating Discrete Time Methods for Subgrouping Continuous Processes

评估连续过程分组的离散时间方法

• 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