2018

Lieberman, J., De Souza, M., Wagstaff, D., & Williams, N. (). 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
Batchelder, W., Anders, R., & Oravecz, Z. (). Cultural Consensus Theory: The Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Volume V: Methodology. , 221-264. https://doi.org/10.1002/9781119170174.epcn506
Oravecz, Z., & Muth, C. (). Fitting growth curve models in the Bayesian framework. Psychonomic Bulletin and Review, 25(1), 235-255. https://doi.org/10.3758/s13423-017-1281-0
Helm, J., Castro-Schilo, L., Zavala-Rojas, D., DeCastellarnau, A., & Oravecz, Z. (). Bayesian Estimation of the True Score Multitrait–Multimethod Model With a Split-Ballot Design. Structural Equation Modeling, 25(1), 71-85. https://doi.org/10.1080/10705511.2017.1378103
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
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. .
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
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.
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
Koffer, R., Ram, N., & Almeida, D. (). 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
Henry, T., Fisher, Z., & Bollen, K. (). Bayesian model averaging for model implied instrumental variable two stage least squares estimators. arXiv preprint arXiv:1808.10522.
Brick, T., Koffer, R., Gerstorf, D., & Ram, N. (). 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
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
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
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
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
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).
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
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
Varangis, E., Razlighi, Q., Habeck, C., Fisher, Z., & Stern, Y. (). 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

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