About me

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.

  • PhD Candidate in Psychology, University of Amsterdam, 2021 – now
  • Research Master’s in Psychology, University of Amsterdam, 2019 – 2021
  • Bachelor’s Degree in Psychology, Faculty of Arts, Charles University, 2016 – 2019
  • Born, 1996

Selected Manuscripts
(see Google Scholar for a complete list; * Shared first authorship):

Statistics & Methodology

  • Bartoš, F., Maier, M., Wagenmakers, E. J., Doucouliagos, H., & Stanley, T. D. (2022). Robust Bayesian meta-analysis: Model-averaging across complementary publication bias adjustment methods. Research Synthesis Methods. (open-access)
  • Maier*, M., Bartoš*, F., & Wagenmakers, E. J. (2022). Robust Bayesian meta-analysis: Addressing publication bias with model-averaging. Psychological Methods. (article, preprint at PsyArXiv)
  • Bartoš*, F., Maier*, M., Stanley, T. D., & Wagenmakers, E. J. (2023). Robust Bayesian meta-regression—Model-averaged moderation analysis in the presence of publication bias. (preprint at PsyArXiv)
  • Bartoš, F., Aust, F., & Haaf, J. M. (2022). Informed Bayesian survival analysis.  BMC Medical Research Methodology, 22(238). (open-access)
  • Bartoš, F., & Schimmack, U. (2022). Z-curve 2.0: Estimating replication rates and discovery rates. Meta-Psychology, 6. (open-access)
  • Bartoš, F., & Wagenmakers, E. J. (2023). A general approximation to nested Bayes factors with informed priors. Stat12(1), e600. (open-access)
  • Siepe*, B. S., Bartoš*, F., Morris, T. P., Boulesteix, A. L., Heck, D. W., & Pawel*, S. (2023). Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting. (preprint at PsyArXiv)

Empirical Research & Meta-Science

  • Bartoš, F., Sarafoglou, A., Godmann, H. R., Sahrani, A., Leunk, D. K., Gui, P. Y., … & Wagenmakers, E. J. (2023). Fair coins tend to land on the same side they started: Evidence from 350,757 flips. (preprint at arXiv)
  • Maier*, M., Bartoš*, F.,, Stanley, T. D., Shanks, D., Harris, A. J., & Wagenmakers, E. J. (2022). No evidence for nudging after adjusting for publication bias. Proceedings of the National Academy of Sciences, 119(31). (open-access)
  • 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), e0290084. (open-access)
  • Bartoš*, F., Maier*, M., Shanks, D., 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). (open-access)
  • Bartoš*, F., Maier*, M., Wagenmakers, E.-J., Nippold, F., Doucouliagos, H., Ioannidis, J. P. A., Otte, W. M., Sladekova, M., , Deresssa, T. K., Bruns, S.B., Fanelli, D., & Stanley, T. D. (2022). Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics. (preprint at arXiv)

Software (also see GitHub):

  • RoBMA R package at CRAN
  • RoBSA R package at CRAN
  • zcurve R package at CRAN
  • BayesTools R package at CRAN
  • contributions to various JASP modules (Mixed Models, Learn Bayes, and Meta-Analysis)


  • Pineapple Science Award: Mathematics Award for “Fair coins tend to land on the same side they started: Evidence from 350,757 flips”, 2023 (blogpost)

(Updated on 30th of November 2023)