2025
Heshmati, S., Muth, C., Li, Y., Roeser, R., Smyth, J., Vandekerckhove, J., Chow, S., & Oravecz, Z. (). Who benefits from mobile health interventions? A dynamical systems analysis of psychological well-being in early adults. Applied Psychology: Health and Well-Being, 17(3). https://doi.org/10.1111/aphw.70037
Drewelies, J., Fiedler, A., Brick, T., & Kühn, S. (). Investigating associations between the physical living environment and hippocampus in adulthood and older age. Environmental Research, 267. https://doi.org/10.1016/j.envres.2024.120728
Lancaster, J., Apsley, H., Brick, T., & Cleveland, H. (). A within-person investigation of recovery identity following substance use disorder: examining the impact of recovery-focused social contexts. Frontiers in Public Health, 13. https://doi.org/10.3389/fpubh.2025.1534432
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, 107988. https://doi.org/10.1016/j.appet.2025.107988
Li, Y., Williams, L., Muth, C., Heshmati, S., Chow, S., & Oravecz, Z. (). A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes. Structural Equation Modeling, 32(2), 237-250. https://doi.org/10.1080/10705511.2024.2402328
Ringwald, W., Creswell, K., Low, C., Doryab, A., Chung, T., Oliva, J., Fisher, Z., Gates, K., & Wright, A. (). Common and Uncommon Risky Drinking Patterns in Young Adulthood Uncovered by Person-Specific Computational Modeling. Psychology of Addictive Behaviors. https://doi.org/10.1037/adb0001055
Blahošová, J., Tancoš, M., Cho, Y., Šmahel, D., Elavsky, S., Chow, S., & Lebedíková, M. (). Examining the Reciprocal Relationship Between Social Media Use and Perceived Social Support Among Adolescents: A Smartphone Ecological Momentary Assessment Study. Media Psychology, 28(1), 70-101. https://doi.org/10.1080/15213269.2024.2310834
Oravecz, Z., Vandekerckhove, J., Hakun, J., Kim, S., Katz, M., Wang, C., Lipton, R., Derby, C., Roque, N., & Sliwinski, M. (). Computational phenotyping of cognitive decline with retest learning. Journals of Gerontology: Psychological Sciences. https://doi.org/10.1093/geronb/gbaf030
Noll, J., Felt, J., Russotti, J., Guastaferro, K., Day, S., & Fisher, Z. (). Rates of Population-Level Child Sexual Abuse After a Community-Wide Preventive Intervention. A.M.A. American journal of diseases of children. https://doi.org/10.1001/jamapediatrics.2024.6824
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
Petrie, D., Knapp, K., Freet, C., Deneke, E., Stankoski, D., Brick, T., Cleveland, H., & Bunce, S. (). Contemporaneous Link Between Pain and Craving in Patients Recovering from Prescription Opioid Use Disorder During Residential Treatment. Substance Use and Misuse, 60(7), 978-988. https://doi.org/10.1080/10826084.2025.2478590
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
Oravecz, Z., Sliwinski, M., Kim, S., Williams, L., Katz, M., & Vandekerckhove, J. (). Partially Observable Predictor Models for Identifying Cognitive Markers. Computational Brain and Behavior. https://doi.org/10.1007/s42113-025-00238-8
Das, J., Ji, L., Shen, Y., Kumara, S., Buxton, O., & Chow, S. (). Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting. Sleep Health, 11(2), 166-173. https://doi.org/10.1016/j.sleh.2024.10.003
Lee, S., Fisher, Z., & Almeida, D. (). Daily reciprocal relationships between affect, physical activity, and sleep in middle and later life. Annals of Behavioral Medicine, 59(1). https://doi.org/10.1093/abm/kaae072
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