F. (František) Bartoš MSc
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Area of expertise: Bayesian statistics, Meta-analysis, Publication bias
Visiting address
- Nieuwe Achtergracht 129
- Room number: G0.39
Postal address
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Postbus 15906
1001 NK Amsterdam
Contact details
Social media
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Profile
I am a Psychological Methods PhD candidate at the University of Amsterdam. My goal is to improve statistical procedures and enable researchers to draw better inferences from data. I am interested in Bayesian statistics, meta-analyses, publication bias, and replicability. I also flipped some coins a couple of times.
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Teaching
MA
- Meta-Analysis ResMa course
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Publications
2024
- Većkalov, B., Geiger, S. J., Bartoš, F., White, M. P., Rutjens, B. T., van Harreveld, F., Stablum, F., Akın, B., Aldoh, A., Bai, J., Berglund, F., Bratina Zimic, A., Broyles, M., Catania, A., Chen, A., Chorzępa, M., Farahat, E., Götz, J., Hoter-Ishay, B., ... van der Linden, S. (2024). A 27-country test of communicating the scientific consensus on climate change. Nature Human Behaviour. https://doi.org/10.1038/s41562-024-01928-2
2023
Almutairi, M. F., Gulden, S., Hundscheid, T. M., Bartoš, F., Cavallaro, G., & Villamor, E. (2023). Platelet Counts and Risk of Severe Retinopathy of Prematurity: A Bayesian Model-Averaged Meta-Analysis. Children, 10(12), Article 1903. https://doi.org/10.3390/children10121903 [details]- Bartoš, F., & Wagenmakers, E.-J. (2023). A general approximation to nested Bayes factors with informed priors. Stat, 12(1), Article e600. https://doi.org/10.1002/sta4.600 [details]
- Bartoš, F., Maier, M., Shanks, D. R., Stanley, T. D., Sladekova, M., & Wagenmakers, E.-J. (2023). Meta-analyses in psychology often overestimate evidence for and size of effects. Royal Society Open Science, 10(7), Article 230224. https://doi.org/10.1098/rsos.230224 [details]
- Bartoš, F., Maier, M., Wagenmakers, E.-J., Doucouliagos, H., & Stanley, T. D. (2023). Robust Bayesian meta-analysis: Model-averaging across complementary publication bias adjustment methods. Research synthesis methods, 14(1), 99-116. https://doi.org/10.1002/jrsm.1594 [details]
- Hoogeveen, S., Sarafoglou, A., Bartoš, F., Beitner, J., De Ron, J., Gligoric, V., Kleinberg, B., Van der Cruyssen, I., van Dongen, N. N. N., van Ravenzwaaij, D., Verschuere, B., Wiechert, S., Zarzeczna, N., van Elk, M., Wagenmakers, E.-J., Većkalov, B., & The MARP Team (2023). A many-analysts approach to the relation between religiosity and well-being. Religion, Brain & Behavior, 13(3), 237-283. https://doi.org/10.1080/2153599X.2022.2070255 [details]
- Hundscheid, T. M., Huizing, M. J., Villamor-Martinez, E., Bartoš, F., & Villamor, E. (2023). Association of Funisitis with Short-Term Outcomes of Prematurity: A Frequentist and Bayesian Meta-Analysis. Antioxidants, 12(2), Article 534. https://doi.org/10.3390/antiox12020534 [details]
- Maier, M., Bartoš, F., & Wagenmakers, E.-J. (2023). Robust Bayesian meta-analysis: Addressing publication bias with model-averaging. Psychological Methods, 28(1), 107-122. https://doi.org/10.1037/met0000405 [details]
- Martinková, P., Bartoš, F., & Brabec, M. (2023). Assessing Inter-rater Reliability With Heterogeneous Variance Components Models: Flexible Approach Accounting for Contextual Variables. Journal of Educational and Behavioral Statistics, 48(3), 349-383. https://doi.org/10.3102/10769986221150517 [details]
- Sarafoglou, A., Aust, F., Marsman, M., Bartoš, F., Wagenmakers, E.-J., & Haaf, J. M. (2023). Multibridge: an R package to evaluate informed hypotheses in binomial and multinomial models. Behavior Research Methods, 55(8), 4343-4368. https://doi.org/10.3758/s13428-022-02020-1 [details]
- Sarafoglou, A., Bartoš, F., Stefan, A., Haaf, J. M., & Wagenmakers, E. J. (2023). “This behavior strikes us as ideal”: assessment and anticipations of Huisman (2022). Psychonomic Bulletin and Review. Advance online publication. https://doi.org/10.3758/s13423-023-02299-x
- Schimmack, U., & Bartoš, F. (2023). Estimating the false discovery risk of (randomized) clinical trials in medical journals based on published p-values. PLoS ONE, 18(8), Article e0290084. https://doi.org/10.1371/journal.pone.0290084 [details]
- Stanley, T. D., Ioannidis, J. P. A., Maier, M., Doucouliagos, H., Ottema, W. M., & Bartoš, F. (2023). Unrestricted weighted least squares represent medical research better than random effects in 67,308 Cochrane meta-analyses. Journal of Clinical Epidemiology, 157, 53-58. https://doi.org/10.1016/j.jclinepi.2023.03.004 [details]
- The Forecasting Collaborative (2023). Insights into accuracy of social scientists' forecasts of societal change. Nature Human Behaviour, 7(4), 484–501. https://doi.org/10.31234/osf.io/wdxsb, https://doi.org/10.1038/s41562-022-01517-1 [details]
2022
- Bartoš, F., & Schimmack, U. (2022). Z-curve 2.0: Estimating replication rates and discovery rates. Meta-Psychology, 6, 1. https://doi.org/10.15626/MP.2021.2720
- Bartoš, F., Aust, F., & Haaf, J. M. (2022). Informed Bayesian survival analysis. BMC Medical Research Methodology, 22, Article 238. https://doi.org/10.1186/s12874-022-01676-9 [details]
- Bartoš, F., Maier, M., Quintana, D. S., & Wagenmakers, E.-J. (2022). Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis. Advances in Methods and Practices in Psychological Science, 5(3). https://doi.org/10.31234/osf.io/75bqn, https://doi.org/10.1177/25152459221109259 [details]
- Bartoš, F., Maier, M., Wagenmakers, E. M., Nippold, F., Doucouliagos, H., Ioannidis, J. P. A., Otte, W. M., Martina, S., Fanelli, D., & Stanley, T. D. (2022). Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics. Research synthesis methods, 1-19. https://doi.org/10.48550/arXiv.2208.12334
2021
- Bartoš, F., Gronau, Q. F., Timmers, B., Otte, W. M., Ly, A., & Wagenmakers, E.-J. (2021). Bayesian model-averaged meta-analysis in medicine. Statistics in Medicine, 40(30), 6743-6761. https://doi.org/10.1002/sim.9170 [details]
2023
- Bartoš, F., Maier, M., Stanley, T. D., & Wagenmakers, E. M. (2023). Robust Bayesian Meta-Regression — Model-Averaged Moderation Analysis in the Presence of Publication Bias. (pp. 1-34). PsyArXiv. https://doi.org/10.31234/osf.io/98xb5
- Bartoš, F., Otte, W. M., Gronau, Q. F., Timmers, B., Ly, A., & Wagenmakers, E. M. (2023). Empirical prior distributions for Bayesian meta-analyses of binary and time to event outcomes. (pp. 1-23). ArXiv. https://doi.org/10.48550/arXiv.2306.11468
- Bartoš, F., Sarafoglou, A. S. G., Godmann, H. R., Sahrani, A., Klein Leunk, D., Gui, P. Y., Voss, D., Ullah, K., Zoubek, M. J., Nippold, F., Aust, F., Vieira, F. F., Islam, C.-G., Zoubek, A. J., Shabani, S., Petter, J., Roos, I. B., Finnemann, A. T. K., Lob, A. B., ... Wagenmakers, E. M. (2023). Fair coins tend to land on the same side they started: Evidence from 350,757 flips. (pp. 1-12). ArXiv. https://doi.org/10.48550/arXiv.2310.04153
- Bartoš, F., Wagenmakers, E. M., Vinkers, C. H., Braun, K. P. J., & Otte, W. M. (2023). Contextual aggregation and rapid updating of trial outcomes within a user-friendly open-source environment. (pp. 1-10). ArXiv. https://doi.org/10.48550/arXiv.2306.14061
- Maier, M., Bartoš, F., Raihani, N., Shanks, D., Stanley, T. D., Wagenmakers, E. M., & Harris, A. (2023). Exploring Open Science Practices in Behavioural Public Policy Research. (pp. 1-12). PsyArXiv. https://doi.org/10.31234/osf.io/msv8y
2022
- Bartoš, F., Maier, M., Stanley, T. D., & Wagenmakers, E. M. (2022). Adjusting for Publication Bias Reveals Mixed Evidence for the Impact of Cash Transfers on Subjective Well-Being and Mental Health. (pp. 1-7). PsyArXiv. https://doi.org/10.31234/osf.io/d9vcg
- Bartoš, F., Pawel, S., & Wagenmakers, E. M. (2022). When Evidence and Significance Collide. (pp. 1-3). ArXiv. https://doi.org/10.48550/arXiv.2206.04435
- Maier, M., Bartoš, F., Oh, M., Wagenmakers, E. M., Shanks, D., & Harris, A. (2022). Adjusting for Publication Bias Reveals That Evidence for and Size of Construal Level Theory Effects is Substantially Overestimated. (pp. 1-40). PsyArXiv. https://doi.org/10.31234/osf.io/r8nyu
- Maier, M., Bartoš, F., Quintana, D., Dablander, F., van den Bergh, D., Marsman, M., Ly, A., & Wagenmakers, E. M. (2022). Model-Averaged Bayesian t-Tests. (pp. 1-44). PsyArXiv. https://doi.org/10.31234/osf.io/d5zwc
- Maier, M., Bartoš, F., Stanley, T. D., Shanks, D. R., Harris, A. J. L., & Wagenmakers, E-J. (2022). No evidence for nudging after adjusting for publication bias. Proceedings of the National Academy of Sciences of the United States of America, 119(31), Article e2200300119. Advance online publication. https://doi.org/10.1073/pnas.2200300119 [details]
2021
- Ly, A., van den Bergh, D., Bartoš, F., & Wagenmakers, E-J. (2021). Bayesian inference with JASP. ISBA Bulletin, 28(1), 7-15. https://bayesian.org/wp-content/uploads/2021/03/2103.pdf [details]
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Ancillary activities
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Czech Academy of Sciences
Research for the Institute of Computer Science
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Czech Academy of Sciences
Almutairi, M. F., Gulden, S., Hundscheid, T. M., Bartoš, F., Cavallaro, G., & Villamor, E. (2023). Platelet Counts and Risk of Severe Retinopathy of Prematurity: A Bayesian Model-Averaged Meta-Analysis. Children, 10(12), Article 1903.