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Grant Details

Grant Number: 5U24AA027684-04 Interpret this number
Primary Investigator: Chow, Sy-Miin
Organization: Pennsylvania State University, The
Project Title: The Center for Innovation in Intensive Longitudinal Studies (CIILS)
Fiscal Year: 2021


PROJECT SUMMARY Significance. 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 proposed Research Coordinating Center, the Center for Innovation in Intensive Longitudinal Studies (CIILS), housed at the Pennsylvania State University (Penn State), will bring 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 in informing prevention and intervention designs. Innovation. The proposed organizational structure of the ILHBN as a small-world network is motivated by our team’s collective decades of experience with multidisciplinary and multi-site collaborations, and is designed to facilitate information flow, collective decision making, and coordination of goals and effort within the ILHBN. Approach. CIILS consists of five Cores with expertise in management of multi-site projects and coordinating centers (Administrative Core); development of novel methods for analysis of ILD (Methods Core); ILD collection, harmonization, sharing, security, as well as collection of digital footprints (Data Core); ILD design, harmonization and instrumentation support (Design Core); and integration of health behavior theories, translation, and implementation of within-person health preventions/interventions (Theory Core). Key personnel with rich and complementary expertise are supported by a roster of advisory Co-Is at Penn State and distributed consultants who are leaders and innovators in their respective fields. Institutional support and contributed staff time by Penn State provide robust infrastructure, expertise, and “boots on the ground” to support the operation and coordination activities of ILHBN; and a wealth of additional resources to elevate and broaden the collective impacts of the Network.


Control Theory Forecasts of Optimal Training Dosage to Facilitate Children's Arithmetic Learning in a Digital Educational Application.
Authors: Chow S.M. , Lee J. , Hofman A.D. , van der Maas H.L.J. , Pearl D.K. , Molenaar P.C.M. .
Source: Psychometrika, 2022 Jun; 87(2), p. 559-592.
EPub date: 2022-03-15.
PMID: 35290564
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Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates.
Authors: Li Y. , Oravecz Z. , Zhou S. , Bodovski Y. , Barnett I.J. , Chi G. , Zhou Y. , Friedman N.P. , Vrieze S.I. , Chow S.M. .
Source: Psychometrika, 2022 Jun; 87(2), p. 376-402.
EPub date: 2022-01-25.
PMID: 35076813
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Relational impacts of capitalization in early parenthood.
Authors: Le Y. , Fredman S.J. , Marshall A.D. , Chow S.M. , McDaniel B.T. , Laurenceau J.P. , Feinberg M.E. .
Source: Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43), 2022 Feb; 36(1), p. 69-79.
EPub date: 2021-03-25.
PMID: 33764085
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Using factorial mediation analysis to better understand the effects of interventions.
Authors: Strayhorn J.C. , Collins L.M. , Brick T.R. , Marchese S.H. , Pfammatter A.F. , Pellegrini C. , Spring B. .
Source: Translational behavioral medicine, 2022-01-18; 12(1), .
PMID: 34698351
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Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus.
Authors: Li Y. , Wood J. , Ji L. , Chow S.M. , Oravecz Z. .
Source: Structural equation modeling : a multidisciplinary journal, 2022; 29(3), p. 452-475.
EPub date: 2021-09-14.
PMID: 35601030
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A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters.
Authors: Fisher Z.F. , Chow S.M. , Molenaar P.C.M. , Fredrickson B.L. , Pipiras V. , Gates K.M. .
Source: Multivariate behavioral research, 2022 Jan-Feb; 57(1), p. 134-152.
EPub date: 2020-10-07.
PMID: 33025834
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GPS2space: An Open-source Python Library for Spatial Measure Extraction from GPS Data.
Authors: Zhou S. , Li Y. , Chi G. , Yin J. , Oravecz Z. , Bodovski Y. , Friedman N.P. , Vrieze S.I. , Chow S.M. .
Source: Journal of behavioral data science, 2021-12-05; 1(2), p. 127-155.
EPub date: 2021-11-08.
PMID: 35281484
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Effective Connectivity during an Avoidance-Based Pavlovian-to-Instrumental Transfer Task.
Authors: Petrie D.J. , Chow S.M. , Geier C.F. .
Source: Brain sciences, 2021-11-06; 11(11), .
EPub date: 2021-11-06.
PMID: 34827471
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A Person- and Time-Varying Vector Autoregressive Model to Capture Interactive Infant-Mother Head Movement Dynamics.
Authors: Chen M. , Chow S.M. , Hammal Z. , Messinger D.S. , Cohn J.F. .
Source: Multivariate behavioral research, 2021 Sep-Oct; 56(5), p. 739-767.
EPub date: 2020-06-12.
PMID: 32530313
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Spousal Influence on Diabetes Self-care: Moderating Effects of Distress and Relationship Quality on Glycemic Control.
Authors: Soriano E.C. , Lenhard J.M. , Gonzalez J.S. , Tennen H. , Chow S.M. , Otto A.K. , Perndorfer C. , Shen B.J. , Siegel S.D. , Laurenceau J.P. .
Source: Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2021-03-16; 55(2), p. 123-132.
PMID: 32491154
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Child Effects on Parental Negativity: The Role of Heritable and Prenatal Factors.
Authors: Liu C. , Ji L. , Chow S.M. , Kang B. , Leve L.D. , Shaw D.S. , Ganiban J.M. , Natsuaki M.N. , Reiss D. , Neiderhiser J.M. .
Source: Child development, 2020 Sep; 91(5), p. e1064-e1081.
EPub date: 2020-08-01.
PMID: 32738072
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Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology.
Authors: Bastiaansen J.A. , Kunkels Y.K. , Blaauw F.J. , Boker S.M. , Ceulemans E. , Chen M. , Chow S.M. , de Jonge P. , Emerencia A.C. , Epskamp S. , et al. .
Source: Journal of psychosomatic research, 2020-08-05; 137, p. 110211.
EPub date: 2020-08-05.
PMID: 32862062
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Low-Burden Mobile Monitoring, Intervention, and Real-Time Analysis Using the Wear-IT Framework: Example and Usability Study.
Authors: Brick T.R. , Mundie J. , Weaver J. , Fraleigh R. , Oravecz Z. .
Source: JMIR formative research, 2020-06-17; 4(6), p. e16072.
EPub date: 2020-06-17.
PMID: 32554373
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Efficient Algorithms towards Network Intervention.
Authors: Hung H.J. , Shen C.Y. , Lee W.C. , Lei Z. , Yang D.N. , Chow S.M. .
Source: Proceedings of the ... International World-Wide Web Conference. International WWW Conference, 2020 Apr; 2020, p. 2021-2031.
PMID: 32685939
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Development of Emotion Regulation Dynamics Across Early Childhood: a Multiple Time-Scale Approach.
Authors: Cole P.M. , Lougheed J.P. , Chow S.M. , Ram N. .
Source: Affective science, 2020 Mar; 1(1), p. 28-41.
EPub date: 2020-04-20.
PMID: 34734191
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A Diagnostic Procedure for Detecting Outliers in Linear State-Space Models.
Authors: You D. , Hunter M. , Chen M. , Chow S.M. .
Source: Multivariate behavioral research, 2020 Mar-Apr; 55(2), p. 231-255.
EPub date: 2019-07-02.
PMID: 31264463
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A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes.
Authors: Ji L. , Chen M. , Oravecz Z. , Cummings E.M. , Lu Z.H. , Chow S.M. .
Source: Structural equation modeling : a multidisciplinary journal, 2020; 27(3), p. 442-467.
PMID: 32601517
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Affect and Personality: Ramifications of Modeling (Non-)Directionality in Dynamic Network Models.
Authors: Park J.J. , Chow S.M. , Fisher Z.F. , Molenaar P.C.M. .
Source: European journal of psychological assessment : official organ of the European Association of Psychological Assessment, 2020; 36(6), p. 1009-1023.
PMID: 34140761
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Exploring Sleep Dynamic of Mother-Infant Dyads Using a Regime-Switching Vector Autoregressive Model.
Authors: Ji L. , Chow S.M. , Crosby B. , Teti D.M. .
Source: Multivariate behavioral research, 2019-12-03; , p. 1.
EPub date: 2019-12-03.
PMID: 31793805
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Practical Tools and Guidelines for Exploring and Fitting Linear and Nonlinear Dynamical Systems Models.
Authors: Chow S.M. .
Source: Multivariate behavioral research, 2019 Sep-Oct; 54(5), p. 690-718.
EPub date: 2019-04-05.
PMID: 30950646
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The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data.
Authors: Jacobson N.C. , Chow S.M. , Newman M.G. .
Source: Behavior research methods, 2019 Feb; 51(1), p. 295-315.
PMID: 30120682
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dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling.
Authors: Li Y. , Ji L. , Oravecz Z. , Brick T.R. , Hunter M.D. , Chow S.M. .
Source: World academy of science, engineering and technology, 2019; 13(5), p. 302-311.
PMID: 31431819
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