2025
Kim, S., Hakun, J., Li, Y., Harrington, K., Elbich, D., Sliwinski, M., Vandekerckhove, J., & Oravecz, Z. (). Optimizing the Color Shapes Task for Ambulatory Assessment and Drift Diffusion Modeling: A Factorial Experiment. JMIR Formative Research, 9. https://doi.org/10.2196/66300
Knapp, K., Petrie, D., Brick, T., Deneke, E., Bunce, S., & Cleveland, H. (). Within-Person Affect Dynamics Among Individuals in Residential Treatment for Opioid Use Disorder: An Ecological Momentary Assessment Study. Journal of Psychopathology and Clinical Science, 134(2), 184-200. https://doi.org/10.1037/abn0000975
Bhat, Y., Keller, K., Brick, T., & Pearce, A. (). ByteTrack: a deep learning approach for bite count and bite rate detection using meal videos in children. Frontiers in Nutrition, 12. https://doi.org/10.3389/fnut.2025.1610363
Cho, Y., Huang, Y., Chow, S., & Martire, L. (). Couple synchrony in physical activity: Effects on individuals with knee osteoarthritis. Annals of Behavioral Medicine, 59(1). https://doi.org/10.1093/abm/kaaf092
Oh, H., Hunter, M., & Chow, S. (). Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations. Structural Equation Modeling, 32(3), 511--528. https://doi.org/10.1080/10705511.2025.2452884
Long, J., Cunningham, P., Maksi, S., Keller, K., Cheah, C., Boot, L., Klippel, A., Brick, T., Edwards, C., Kort, J., Grabusky, P., Rolls, B., & Masterson, T. (). Variety-seeking behavioral markers in an immersive virtual reality food buffet are associated with greater food and energy intake in laboratory meals. Appetite, 210(1), 107988. https://doi.org/10.1016/j.appet.2025.107988
Chen, M., Hunter, M., & Chow, S. (). Detecting critical change in dynamics through outlier detection with time-varying parameters in dynamic models. British Journal of Mathematical and Statistical Psychology. https://doi.org/10.1111/bmsp.70010
Alexander, J., Duffy, K., Freis, S., Chow, S., Friedman, N., & Vrieze, S. (). Investigating the Magnitude and Persistence of COVID-19–Related Impacts on Affect and GPS-Derived Daily Mobility Patterns in Adolescence and Emerging Adulthood: Insights From a Smartphone-Based Intensive Longitudinal Study of Colorado-Based Youths From…. Journal of Medical Internet Research, 27, e64965. https://doi.org/10.2196/64965
2024
Kim, Y., Fisher, Z., & Pipiras, V. (). Group Integrative Dynamic Factor Models With Application to Multiple Subject Brain Connectivity. Biometrische Zeitschrift, 66(8). https://doi.org/10.1002/bimj.202300370
Lancaster, J., Apsley, H., Brick, T., Ren, W., & Cleveland, III, H. (). The day-level effects of recovery community center attendance on indicators of recovery wellbeing and risk. Journal of Substance Use and Addiction Treatment, 165. https://doi.org/10.1016/j.josat.2024.209459
Fisher, Z., Pipiras, V., & Kim, Y. (). Structured Estimation of Multiple-Subject Time Series. Multivariate Behavioral Research.
Pohlmann, K., Tawil, N., Brick, T., & Kühn, S. (). When houses wear faces: Reverse correlation applied to architectural design. Journal of Environmental Psychology, 98. https://doi.org/10.1016/j.jenvp.2024.102401
Lane, S., Gates, K., Fisher, Z., Arizmendi, C., & Molenaar, P. (). gimme: Group Iterative Multiple Model Estimation (R Package). CRAN.
Kim, Y., Fisher, Z., & Pipiras, V. (). Group Integrative Dynamic Factor Models for Inter- and Intra-individual Brain Networks.. Biometrical Journal.
Olson, A., Shenk, C., Fisher, Z., Heim, C., Noll, J., Shalev, I., & Schreier, H. (). Pre-pandemic individual and household predictors of caregiver and child COVID-19-related stress in a high-risk sample. Child Protection and Practice, 2(2), 9. https://doi.org/10.1016/j.chipro.2024.100046
Hunter, M., Fisher, Z., & Geier, C. (). What ergodicity means for you. Developmental Cognitive Neuroscience, 68. https://doi.org/10.1016/j.dcn.2024.101406
Ahn, Y., Martin, K., Prince, E., Chow, S., Cohn, J., Wang, J., Simpson, E., & Messinger, D. (). How still? Parent–infant interaction during the still-face and later infant attachment. Infant and Child Development, 33(4). https://doi.org/10.1002/icd.2492
Beyer, M., Brick, T., & Kühn, S. (). Urbanicity and psychotic experiences: Social adversities, isolation and exposure to natural environments predict psychosis. Journal of Environmental Psychology, 96. https://doi.org/10.1016/j.jenvp.2024.102293
Petrie, D., Meeks, K., Fisher, Z., & Geier, C. (). Associations between somatomotor-putamen resting state connectivity and obsessive-compulsive symptoms vary as a function of stress during early adolescence: Data from the ABCD study. Journal of Electrophysiological Techniques, 210. https://doi.org/10.1016/j.brainresbull.2024.110934
Elavsky, S., Burda, M., Cipryan, L., Kutáč, P., Bužga, M., Jandačková, V., Chow, S., & Jandačka, D. (). Physical activity and menopausal symptoms: evaluating the contribution of obesity, fitness, and ambient air pollution status. Menopause, 31(4), 310-319. https://doi.org/10.1097/GME.0000000000002319
Knapova, L., Cho, Y., Chow, S., Kuhnova, J., & Elavsky, S. (). From intention to behavior: Within- and between-person moderators of the relationship between intention and physical activity. Psychology of Sport and Exercise, 71. https://doi.org/10.1016/j.psychsport.2023.102566
Santos-Lozada, A., & Rivera-Reyes, B. (). Hurricane Fiona and Puerto Rico: Compounding Disasters Complicate PostDisaster Assessments. American Journal of Epidemiology, 193(2), 404-406. https://doi.org/10.1093/aje/kwad204
Apsley, H., Lancaster, J., Ren, W., Brick, T., & Cleveland, H. (). Experiences at recovery community centers predict holistic recovery outcomes: a daily diary assessment of RCC helpfulness, meaningfulness, and recovery identity. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1476441
Cho, Y., Chow, S., Marini, C., & Martire, L. (). Multilevel Latent Differential Structural Equation Model with Short Time Series and Time-Varying Covariates: A Comparison of Frequentist and Bayesian Estimators. Multivariate Behavioral Research, 59(5), 934-956. https://doi.org/10.1080/00273171.2024.2347959