2018

Oravecz, Z., Wood, J., & Ram, N. (). Fitting continuous time stochastic process models in the Bayesian framework.. Continuous Time Modeling in the Behavioral and Related Sciences, 55-78. https://doi.org/10.1007/978-3-319-77219-6_3
Chen, M., Chow, S., & Hunter, M. (). 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
Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., While, C., de Boeck, P., & Vandekerckhove, J. (). Meta-studies for robust tests of theory: Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences, 115(11), 2607-2612. https://doi.org/10.1073/pnas.1708285114
Brick, T., Gray, A., & Staples, A. (). 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
Gates, K., Fisher, Z., Bollen, K., & Henry, T. (). Identifying and Estimating Relations Within and Between Functional Brain Networks using MIIVsem and GIMME: Modern Modeling Methods. .
Surachman, A., Wardecker, B., Chow, S., & Almeida, D. (). 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
Garrison, S., O'Keefe, P., Hunter, M., Beasley, W., Bard, D., & Rodgers, J. (). AC'RE model: Estimating rearing effects without twins raised apart: Behavior Genetics. , 48(6), 472--472.
Henry, T., Fisher, Z., & Bollen, K. (). Bayesian model averaging for model implied instrumental variable two stage least squares estimators. arXiv preprint arXiv:1808.10522.
Snoke, J., Brick, T., Slavković, A., & Hunte, M. (). 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
Brinberg, M., Ram, N., Hülür, G., Brick, T., & Gerstorf, D. (). 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. (). 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
Muth, C., Oravecz, Z., & Gabry, J. (). User-friendly Bayesian regression modeling: A tutorial with rstanarm and shinystan: Quantitative Methods for Psychology. Quantitative Methods for Psychology, 14(2), 99-119. https://doi.org/10.20982/tqmp.14.2.p099
Chang, B., Fisher, Z., Bollen, K., Mintz, A., Flotron, S., Borde, A., Swor, R., Peak, D., Rathlev, N., & McLean, S. (). Contributions of Minor Traumatic Brain Injury to the Development of Posttraumatic Stress Following Motor Vehicle Accident. Biological Psychiatry, 83(9).
Benson, L., Ram, N., Almeida, D., Zautra, A., & Ong, A. (). 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

2017

Wood, J., Oravecz, Z., Vogel, N., Benson, L., Chow, S., Cole, P., Conroy, D., Pincus, A., & Ram, N. (). 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
Morales, S., Ram, N., Buss, K., Cole, P., Helm, J., & Chow, S. (). 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. (). Hyper-transcranial alternating current stimulation: Experimental manipulation of inter-brain synchrony. Frontiers in Human Neuroscience, 11. https://doi.org/10.3389/fnhum.2017.00539
Chow, S., Kumar, A., Ouyang, A., Zhong, B., Lee, J., & Inverso, N. (). 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
Pritikin, J., Hunter, M., von Oertzen, T., Brick, T., & Boker, S. (). Many-Level Multilevel Structural Equation Modeling: An Efficient Evaluation Strategy. Structural Equation Modeling, 24(5), 684-698. https://doi.org/10.1080/10705511.2017.1293542
Franz, D., Wilburne, J., Polly, D., & Wagstaff, D. (). The teacher action Q-sort: A card-sorting tool for professional learning. NCSM Journal for Mathematics Education Leadership, 18(2), 3-14.
Gatzke‐Kopp, L., Ram, N., Lydon-Staley, D., & DuPuis, D. (). Children's Sensitivity to Cost and Reward in Decision Making across Distinct Domains of Probability, Effort, and Delay. Journal of Behavioral Decision Making, 31, 12-24. https://doi.org/10.1002/bdm.2038