Gomes, A. I., Lemos, R., Miočević, M., Pereira, A. I., & Barros, L. (2023). Do Childcare Teachers Evaluate Children’s Weight Status More Accurately Than Parents? A Brief Report. American Journal of Health Promotion, 08901171231178272.
Ilagan, M., Caron, P.-E., & Miočević, M. (accepted). Multilevel analysis of matching behavior: A comparison of maximum likelihood and Bayesian estimation. Journal of the Experimental Analysis of Behavior.
Falk, C. F., Vogel, T. A., Hammami, S., & Miočević, M. (2023). Multilevel mediation analysis in R: A comparison of bootstrap and Bayesian approaches. Behavior Research Methods, 1-15.
da Silva Castanheira, K., Zahedi, N., & Miočević, M. (in press). Bayesian mediation analysis in trauma research. Psychological Trauma: Theory, Research, Practice, and Policy.
Valente, M. J., Rijnhart, J. J., & Miočević, M. (2022). Causal mediation effects in single case experimental designs. Psychological Methods.
Fortier, I., Wey, T., Bergeron, J., Pinot de Moira, A., Andersen, A.-M., Bishop, T., Murtagh, M., Miočević, M., Swertz, M., van Enckevort, E., Marcon, Y., Mayrhofer, M., Ornelas, J., Sebert, S., Santos, A., Rocha, A., Griffith, L., & Burton, P. (2022). Life course of retrospective harmonization initiatives supporting DOHaD research. Journal of Developmental Origins of Health and Disease, 1-9.
Wurpts, I. C., Miočević, M., & MacKinnon, D. P. (2022). Sequential Bayesian data synthesis for mediation and regression analysis. Prevention Science, 23(3), 378-389.
MacKinnon, D. P., Smyth, H. L., Somers, J., Ho, E., Norget, J., & Miočević, M. (2022). A randomization permutation test for single subject mediation. Evaluation & the health professions, 45(1), 54-65.
Somer, E., Gische, C., & Miočević, M. (2022). Methods for modeling autocorrelation and handling missing data in mediation analysis in single case experimental designs (SCEDs). Evaluation & the health professions, 45(1), 36-53.
Miočević, M., Moeyaert, M., Mayer, A., & Montoya, A. K. (2022). Causal Mediation Analysis in Single Case Experimental Designs: Introduction to the Special Issue. Evaluation & the health professions, 45(1), 3-7.
Miočević, M., & Golchi, S. (2021). Bayesian Mediation Analysis with Power Prior Distributions. Multivariate Behavioral Research, 1-16.
Vincze, L., Dragojevic, M., Gasiorek, J., & Miočević, M. (2021). Ethnolinguistic Identity, Coping Strategies and Language Use among Young Hungarians in Slovakia. European Journal of Applied Linguistics. Published online first: https://doi.org/10.1515/eujal-2019-0008
van Zundert, C. H. J., & Miočević, M. (2020). A comparison of meta-methods for synthesizing indirect effects. Research Synthesis Methods, 1–17.
Miočević, M., Klaassen, F., Geuke, G., Moeyaert, M. & Maric, M. (2020). Using Bayesian Methods to test Mediators of Intervention Outcomes in Single Case Experimental Designs (SCEDs). Evidence-based Communication Assessment and Intervention, 1-17.
Miočević, M., Levy, R., & MacKinnon, D. P. (2020). Different roles of prior distributions in the single mediator model with latent variables. Multivariate Behavioral Research, 1-21.
Miočević, M. (2019). A Tutorial in Bayesian Mediation Analysis with Latent Variables. Methodology, 15(4), 137–146.
Geuke, G., Maric, M., Miočević, M., Wolters, L. H., & de Haan, E. (2019). Testing mediators of youth intervention outcomes using Single-Case Experimental Designs (SCEDs). New Directions for Child and Adolescent Development, 167, 39-64.
Smid, S. C., McNeish, D., Miočević, M., & van de Schoot, R. (2019). Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review. Structural Equation Modeling: A Multidisciplinary Journal, 1-31.
Groenwold, R. H., Shofty, I., Miočević, M., Van Smeden, M., & Klugkist, I. (2018). Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation. BMC medical research methodology, 18(1), 174-182.
Prast, E., Van de Weijer-Bergsma, E., Miočević, M., Kroesbergen, E., & Van Luit, J. (2018). Relations between mathematics achievement and motivation in students of diverse achievement levels. Contemporary Educational Psychology, 55, 84-96.
Miočević, M., Gonzalez, O., Valente, M. J., & MacKinnon, D. P. (2018). A tutorial in Bayesian potential outcomes mediation analysis. Structural Equation Modeling: A Multidisciplinary Journal, 25(1), 121-136.
Miočević, M., MacKinnon, D. P., & Levy, R. (2017). Power in Bayesian Mediation Analysis for Small Sample Research. Structural Equation Modeling: A Multidisciplinary Journal, 24(5), 666-683.
Miočević, M., O’Rourke, H. P., MacKinnon, D. P., & Brown, H. C. (2017). Statistical properties of four effect-size measures for mediation models. Behavior Research Methods, 50(1), 285-301.
Odell, A. P., Reynolds, G. L., Fisher, D. G., Huckabay, L. M., Pedersen, W. C., Xandre, P., & Miočević, M. (2017). Attention Deficit Hyperactivity Disorder, Aggression, and Illicit Stimulant Use: Is This Self-Medication?. The Journal of Nervous and Mental Disease, 205(5), 372-379.
Cisneros, L., Bussey, K. J., Orr, A. J., Miočević, M., Lineweaver, C. H., & Davies, P. (2017). Ancient Genes Establish Stress-Induced Mutation as a Hallmark of Cancer. PLOS ONE, 12 (4), e0176258.
Kuehl, K. S., Elliot, D. L., MacKinnon, D. P., O’Rourke H. P., DeFrancesco, C., Miočević, M., Valente, M., Sleigh, A., Garg, B., & McGinnis, W. (2016). The SHIELD (Safety & Health Improvement: Enhancing Law Enforcement Departments) Study: Mixed Methods Longitudinal Findings. Journal of Occupational and Environmental Medicine, 58(5), 492-498.
Valente, M. J., Gonzalez, O., Miočević, M., & MacKinnon, D. P. (2015). A Note on Testing Mediated Effects in Structural Equation Models Reconciling Past and Current Research on the Performance of the Test of Joint Significance. Educational and Psychological Measurement, 76(6), 889-911.
Cox, M. G., Kisbu-Sakarya, Y., Miočević, M., & MacKinnon, D. P. (2014). Sensitivity plots for confounder bias in the single mediator model. Evaluation Review, 37(5), 405-31.
Kisbu-Sakarya, Y., MacKinnon, D. P., & Miočević, M. (2014). The distribution of the product explains normal theory mediation confidence interval estimation. Multivariate Behavioral Research, 49(3), 261-268.
Kuehl, K. S., Elliot, D. L., Goldberg, L., MacKinnon, D. P., Vila, B. J., Smith, J., Miočević, M., O’Rourke, H. P., Valente, M. J., DeFrancesco, C., Sleigh, A., & McGinnis, W. (2014). The safety and health improvement: enhancing law enforcement departments study: feasibility and findings. Frontiers in Public Health, 2.
ARTICLES
CHAPTERS
Miočević, M., Levy, R., & Savord, A. (2020). The Role of Exchangeability in Sequential Updating of Findings from Small Studies and the Challenges of Identifying Exchangeable Data Sets. In R. Van de Schoot & M. Miočević (Eds.), Small sample size solutions: A guide for applied researchers and practitioners: Routledge.
Miočević, M., Levy, R., & van de Schoot, R. (2020). Introduction to Bayesian Statistics. In R. Van de Schoot & M. Miočević (Eds.), Small sample size solutions: A guide for applied researchers and practitioners: Routledge.
Van de Schoot, R., & Miočević, M. (2020). Introduction to small sample sizes. In R. Van de Schoot & M. Miočević (Eds.), Small sample size solutions: A guide for applied researchers and practitioners: Routledge.
Miočević, M. & van de Schoot, R. (2019). Gentle introduction to Bayesian statistics. In J. Edlund & A. L. Nichols (Eds.), Advanced Research Methods and Statistics for the Behavioral and Social Sciences. Cambridge, UK: Cambridge University Press.