2023
Pearce, A., & Brick, T. (). Validation of computational models to characterize cumulative intake curves from video-coded meals. Frontiers in Nutrition, 10. https://doi.org/10.3389/fnut.2023.1088053
Ji, L., Li, Y., Potter, L., Lam, C., Nahum-Shani, I., Wetter, D., & Chow, S. (). Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data. Frontiers in Digital Health, 5. https://doi.org/10.3389/fdgth.2023.1099517
Jin, C., Osotsi, A., & Oravecz, Z. (). Predicting Adolescent Female Stress with Wearable Device Data Using Machine and Deep Learning. . https://doi.org/10.1109/BSN58485.2023.10331414
Chen, M., Chen, M., Chow, S., Oravecz, Z., & Ferrer, E. (). Fitting Bayesian Stochastic Differential Equation Models with Mixed Effects through a Filtering Approach. Multivariate Behavioral Research, 58(5), 1014-1038. https://doi.org/10.1080/00273171.2023.2171354
Chow, S., Nahum-Shani, I., Baker, J., Spruijt-Metz, D., Allen, N., Auerbach, R., Dunton, G., Friedman, N., Intille, S., Klasnja, P., Marlin, B., Nock, M., Rauch, S., Pavel, M., Vrieze, S., Wetter, D., Kleiman, E., Brick, T., Perry, H., Wolff-Hughes, D., et al (). The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols. Translational Behavioral Medicine, 13(1), 7-16. https://doi.org/10.1093/tbm/ibac069
Merritt, S., Heshmati, S., Oravecz, Z., & Donaldson, S. (). Web of well-being: re-examining PERMA and subjective well-being through networks. Journal of Positive Psychology. https://doi.org/10.1080/17439760.2023.2209538
Fisher, Z., Kim, Y., Pipiras, V., Crawford, C., Petrie, D., Hunter, M., & Geier, C. (). Structured Estimation of Heterogeneous Time Series. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2283837
2022
Ciston, A., Forster, C., Brick, T., Kühn, S., Verrel, J., & Filevich, E. (). Do I look like I'm sure?: Partial metacognitive access to the low-level aspects of one's own facial expressions. Cognition, 225. https://doi.org/10.1016/j.cognition.2022.105155
Hunter, M., Fatimah, H., & Bornovalova, M. (). Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data (Psychometrika, (2022), 87, 2, (477-505), 10.1007/s11336-021-09827-5). Psychometrika, 87(2), 797. https://doi.org/10.1007/s11336-022-09862-w
Schneider, J., Matyjek, M., Weigand, A., Dziobek, I., & Brick, T. (). Subjective and objective difficulty of emotional facial expression perception from dynamic stimuli. PLoS One, 17(6). https://doi.org/10.1371/journal.pone.0269156
Hunter, M., Fatimah, H., & Bornovalova, M. (). Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data. Psychometrika, 87(2), 477-505. https://doi.org/10.1007/s11336-021-09827-5
Bustamante, D., Amstadter, A., Pritikin, J., Brick, T., & Neale, M. (). Associations Between Traumatic Stress, Brain Volumes and Post-traumatic Stress Disorder Symptoms in Children: Data from the ABCD Study. Behavior Genetics, 52(2), 75-91. https://doi.org/10.1007/s10519-021-10092-6
Mascherek, A., Weber, S., Riebandt, K., Cassanello, C., Leicht, G., Brick, T., Gallinat, J., & Kühn, S. (). On the relation between a green and bright window view and length of hospital stay in affective disorders. Psychiatrie et Psychobiologie, 65(1). https://doi.org/10.1192/j.eurpsy.2022.9
Heshmati, S., & Oravecz, Z. (). I feel loved when other people feel loved: Cultural congruence in beliefs on love is related to well-being. Journal of Social and Personal Relationships, 39(2), 347-371. https://doi.org/10.1177/02654075211036510
Heshmati, S., & Oravecz, Z. (). I feel loved when other people feel loved: Cultural congruence in beliefs on love is related to well-being. Journal of Social and Personal Relationships, 2(39), 347-371. https://doi.org/10.1177/02654075211036510
Hunter, M., McKee, K., & Turkheimer, E. (). Simulated nonlinear genetic and environmental dynamics of complex traits. Development and Psychopathology. https://doi.org/10.1017/S0954579421001796
Husmann, K., Brick, T., & Diperna, J. (). Evaluating measurement of longitudinal education data using the Measurement Model of Derivatives. Journal of School Psychology, 92, 360-375. https://doi.org/10.1016/j.jsp.2022.04.004
Oravecz, Z., Harrington, K., Hakun, J., Katz, M., Wang, C., Zhaoyang, R., & Sliwinski, M. (). Accounting for retest effects in cognitive testing with the Bayesian double exponential model via intensive measurement burst designs. Frontiers in Aging Neuroscience, 14(897343), 128. https://doi.org/10.3389/fnagi.2022.897343
Fredman, S., Fischer, M., Baucom, D., Le, Y., Taverna, E., Chow, S., Ram, N., & Marshall, A. (). PTSD Symptom Cluster Severity Predicts Momentary Emotion Dynamics During Couple Conversations. Behavior Therapy, 54(2), 330-345. https://doi.org/10.1016/j.beth.2022.09.004
Van Doren, Natalia, , Van Doren, N., Oravecz, Z., Soto, J., & Roeser, R. (). Examining the Cultural Consensus on Beliefs About Mindfulness Among US College-Attending Young Adults. Mindfulness, 13(10), 2420-2433. https://doi.org/10.1007/s12671-022-01956-x
Wan, S., Brick, T., Alvarez-Vargas, D., & Bailey, D. (). Triangulating on Developmental Models With a Combination of Experimental and Nonexperimental Estimates. Developmental Psychology. https://doi.org/10.1037/dev0001490
Li, Y., Li, , Oravecz, Z., Zhou, S., Barnett, I., Bodovski, Y., Zhou, S., Chow, S., Bodovski, Y., Barnett, I., Friedman, N., Chi, G., Barnett, I., Zhou, Y., Chow, S., S., Zhou, Y., Friedman, N., Vrieze, Scott, I, , Vrieze, S., et al (). Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates. Psychometrika, 87(2), 376-402. https://doi.org/10.1007/s11336-021-09831-9
Chow, S., Lee, J., Chow, J., Hofman, A., van der Maas, H., van der Maas, Han L. J., , Pearl, D., Chow, S., Chow, S., Molenaaar, P., Molenaar, P., & Molenaar, Peter C. M., (). Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application. Psychometrika, 87(2), 559-592. https://doi.org/10.1007/s11336-021-09829-3
Petrie, D., Knapp, K., Freet, C., Brick, T., Deneke, E., Cleveland, H., Brick, T., Bunce, S., & Bunce, S. (). Prefrontal cortical response to natural rewards and self-reported anhedonia are associated with greater craving among recently withdrawn patients in residential treatment for opioid use disorder. Journal of Electrophysiological Techniques, 190, 32-41. https://doi.org/10.1016/j.brainresbull.2022.09.012
Strayhorn, J., Collins, L., Brick, T., Marchese, S., Pfammatter, A., Pellegrini, C., & Spring, B. (). Using factorial mediation analysis to better understand the effects of interventions. Translational Behavioral Medicine, 12(1), 84-89. https://doi.org/10.1093/tbm/ibab137