Publications

2018

Chow, S., Ou, L., Ciptadi, A., Prince, E., You, D., Hunter, M., Rehg, J., Rozga, A., & Messinger, D. (2018). Representing Sudden Shifts in Intensive Dyadic Interaction Data Using Differential Equation Models with Regime Switching. Psychometrika, 83(2), 476-510. https://doi.org/10.1007/s11336-018-9605-1

Forgeard, M., & Benson, L. (2018). Extracurricular involvement and psychological adjustment in the transition from adolescence to emerging adulthood: The role of mastery and creative self-efficacy. Applied Developmental Science, 201, 1-18. http://doi.org/10.1080/10888691.2017.1288124

Pritikin, J., Brick, T., & Neale, M. (2018). Multivariate normal maximum likelihood with both ordinal and continuous variables, and data missing at random. Behavior Research Methods, 50(2), 490-500. https://doi.org/10.3758/s13428-017-1011-6

Hunter, M. (2018). State Space Modeling in an Open Source, Modular, Structural Equation Modeling Environment. Structural Equation Modeling, 25(2), 307-324. https://doi.org/10.1080/10705511.2017.1369354

Lieberman, J., De Souza, M., Wagstaff, D., & Williams, N. (2018). Menstrual Disruption with Exercise Is Not Linked to an Energy Availability Threshold. Medicine & Science in Sports & Exercise, 50(3), 551-561. http://doi.org/10.1249/MSS.0000000000001451

Snoke, J., Brick, T., Slavković, A., & Hunte, M. (2018). Providing accurate models across private partitioned data: Secure maximum likelihood estimation. Annals of Applied Statistics, 12(2), 877-914. https://doi.org/10.1214/18-AOAS1171

Varangis, E., Razlighi, Q., Habeck, C., Fisher, Z., & Stern, Y. (2018). Between-network functional connectivity is modified by age and cognitive task domain. Journal of Cognitive Neuroscience, 31(4), 607-622. https://doi.org/10.1162/jocn_a_01368

Brinberg, M., Ram, N., Hülür, G., Brick, T., & Gerstorf, D. (2018). Analyzing dyadic data using grid-sequence analysis: Interdyad differences in intradyad dynamics. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 5-18. https://doi.org/10.1093/geronb/gbw160

Wood, J., Oravecz, Z., Vogel, N., Benson, L., Chow, S., Cole, P., Conroy, D., Pincus, A., & Ram, N. (2018). Modeling intraindividual dynamics using stochastic differential equations:age differences inaffect regulation. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 171-184. https://doi.org/10.1093/geronb/gbx013

Brick, T., Gray, A., & Staples, A. (2018). Recurrence quantification for the analysis of coupled processes in aging. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 134-147. https://doi.org/10.1093/geronb/gbx018

Chen, M., Chow, S., & Hunter, M. (2018). Stochastic Differential Equation Models with Time-Varying Parameters. Continuous Time Modeling in the Behavioral and Related Sciences, 205--238. https://doi.org/10.1007/978-3-319-77219-6_9

Brick, T., Koffer, R., Gerstorf, D., & Ram, N. (2018). Feature selection methods for optimal design of studies for developmental inquiry. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 113-123. https://doi.org/10.1093/geronb/gbx008

Gates, K., Fisher, Z., Bollen, K., & Henry, T. (2018). Identifying and Estimating Relations Within and Between Functional Brain Networks using MIIVsem and GIMME: Modern Modeling Methods. .

Garrison, S., O&#039;Keefe, P., Hunter, M., Beasley, W., Bard, D., & Rodgers, J. (2018). AC'RE model: Estimating rearing effects without twins raised apart: Behavior Genetics. , 48(6), 472--472.

Benson, L., Ram, N., Almeida, D., Zautra, A., & Ong, A. (2018). Fusing Biodiversity Metrics into Investigations of Daily Life: Illustrations and Recommendations With Emodiversity. The Journals of Gerontology: Series B, 73(1), 75–86. http://doi.org/10.1093/geronb/gbx025

Koffer, R., Ram, N., & Almeida, D. (2018). More than Counting: An Intraindividual Variability Approach to Categorical Repeated Measures. The Journals of Gerontology: Series B, 73(1), 87-99. http://doi.org/10.1093/geronb/gbx086

Surachman, A., Wardecker, B., Chow, S., & Almeida, D. (2018). Life Course Socioeconomic Status, Daily Stressors, and Daily Well-Being: Examining Chain of Risk Models. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 74, 1(1), 126-135. https://doi.org/10.1093/geronb/gby014

Chang, B., Fisher, Z., Bollen, K., Mintz, A., Flotron, S., Borde, A., Swor, R., Peak, D., Rathlev, N., & McLean, S. (2018). Contributions of Minor Traumatic Brain Injury to the Development of Posttraumatic Stress Following Motor Vehicle Accident. Biological Psychiatry, 83(9).

2017

Wood, J., Oravecz, Z., Vogel, N., Benson, L., Chow, S., Cole, P., Conroy, D., Pincus, A., & Ram, N. (2017). Modeling Intraindividual Dynamics Using Stochastic Differential Equations: Age Differences in Affect Regulation.. The journals of gerontology. Series B, Psychological sciences and social sciences, 73(1), 171-184. https://doi.org/10.1093/geronb/gbx013

Chow, S., & Hoijtink, H. (2017). Bayesian Estimation and Modeling: Editorial to the Second Special Issue on Bayesian Data Analysis. Psychological Methods, 22(4), 609-615. https://doi.org/10.1037/met0000169

Tang, N., Chow, S., Ibrahim, J., & Zhu, H. (2017). Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness. Psychometrika, 82(4), 875-903. https://doi.org/10.1007/s11336-017-9587-4

Morales, S., Ram, N., Buss, K., Cole, P., Helm, J., & Chow, S. (2017). Age-related changes in the dynamics of fear-related regulation in early childhood. Developmental Science, 21(5), e12633. https://doi.org/10.1111/desc.12633

Szymanski, C., Müller, V., Brick, T., von Oertzen, T., & Lindenberger, U. (2017). Hyper-transcranial alternating current stimulation: Experimental manipulation of inter-brain synchrony. Frontiers in Human Neuroscience, 11. https://doi.org/10.3389/fnhum.2017.00539

Feinberg, M., Xia, M., Fosco, G., Heyman, R., & Chow, S. (2017). Dynamical Systems Modeling of Couple Interaction: a New Method for Assessing Intervention Impact Across the Transition to Parenthood. Prevention Science, 18(8), 887-898. https://doi.org/10.1007/s11121-017-0803-3

Chow, S., Kumar, A., Ouyang, A., Zhong, B., Lee, J., & Inverso, N. (2017). What can physicians learn from social forums: Insights from an on-line self help and support group. 2017 IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 1-6. https://doi.org/10.1109/ICCABS.2017.8114302