About me

A PhD (Psych Methods) student at the University of Amsterdam. I’m interested in meta-analyses, publication bias, replicability, and Bayesian inference.

Publications:

  • Bartoš, F., & Schimmack, U. (accepted). Z-curve 2.0: Estimating replication rates and discovery rates. Meta-Psychology. (preprint at PsyArXiv)
  • Maier, M., Bartoš, F., & Wagenmakers, E. J. (in press). Robust bayesian meta-analysis: Addressing publication bias with model-averaging. Psychological Methods. (preprint at PsyArXiv)
  • Bartoš, F., & Maier, M. (accepted). Power or alpha? The better way of decreasing the false discovery rate. Meta-Psychology. (preprint at PsyArXiv)
  • Bartoš, F., Martinková, P., & Brabec, M. (2019). Testing heterogeneity in inter-rater reliability. In The Annual Meeting of the Psychometric Society (pp. 347-364). Springer, Cham. (preprint at PsyArXiv)

Preprints:

  • Bartoš, F., Maier, M., Wagenmakers, E. J., Doucouliagos, H., & Stanley, T. D. (2021). No need to choose: robust Bayesian meta-analysis with competing publication bias adjustment methods. at PsyArXiv
  • Bartoš, F., Maier, M., & Wagenmakers, E. J. (2020). Adjusting for publication bias in JASP—Selection models and robust Bayesian meta-analysis. at PsyArXiv
  • Efendic, E., Bartoš, F., Vranka, M., & Bahník, Š. (2019). A minority deliberately cheats for one’s own and other’s benefit: An investigation of dicehonesty using mouse tracking. at PsyArXiv

Software:

  • RoBMA 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)

Presented posters:

  • Bartoš, F., Martinková, P., Brabec, M. Testing heterogeneity in inter-rater reliability estimation. International Meeting of Psychometric Society, Santiago de Chile, 2019
  • Efendic, E., Bartoš, F., Vranka, M. A., & Bahník, Š. Dicehonesty: Cheating Equally for One’s Own and Other’s Benefit. Society for Judgment and Decision Making, New Orleans, 2018 (http://sjdm.org/presentations/2018-Poster-Bartos-Frantisek-dicehonesty-cheating-equally~.pdf).
  • Bartoš, F., Lukavský, J., Děchtěrenko, F. Can predicting data improve model interpretation and inferences? Using Stan to fight the assumption of independence. StanCon, Helsinky, 2018 (https://doi.org/10.6084/m9.figshare.7074902.v1)

Talks:

  • Bartoš, F. A minority deliberately cheats for one’s own and other’s benefit: An investigation of dicehonesty using mouse tracking, Prague Conference on Behavioral Sciences, Prague, 5-6.4.2019
  • Bartoš, F. Jak měřit podobnost fotografií pomocí neuronových sítí? (How to measure similarity between photographs using neural networks?), Kognitivní škola, Malá Skála, 24-27.1.2019
  • Bartoš, F., Houdek, P., Vranka, M., Smrčka, L., Machek, O. Recognition of Abilities in Random Noise: People Are Willing To Pay For The Illusion Of Success, Prague Conference on Behavioral Sciences, Prague, 4-5.5.2018