Z-Curve.2.0: Estimating Replication Rates and Discovery Rates
- František Bartoš, U. Schimmack
- EconomicsMeta-Psychology
- 10 January 2020
This article introduces z-curve.2.0 as a method that estimates the expected replication rate (ERR) and the expected discovery rate (EDR) based on the test-statistics of studies selected for…
Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.
- Maximilian Maier, František Bartoš, E. Wagenmakers
- Psychology, EconomicsPsychological methods
- 19 May 2022
It is demonstrated that RoBMA finds evidence for the absence of publication bias in Registered Replication Reports and reliably avoids false positives and is relatively robust to model misspecification and simulations show that it outperforms existing methods.
No Need to Choose: Robust Bayesian Meta-Analysis with Competing Publication Bias Adjustment Methods
- František Bartoš, M. Maier, E. Wagenmakers, Hristos Doucouliagos, T. Stanley
- Business
- 17 June 2021
Publication bias is a ubiquitous threat to the validity of meta-analysis and the accumulation of scientific evidence. In order to estimate and counteract the impact of publication bias, multiple…
Robust Bayesian Meta-Analysis: Addressing Publication Bias with Model-Averaging
- M. Maier, František Bartoš, E. Wagenmakers
- Economics, Biology
- 6 June 2020
It is demonstrated that RoBMA finds evidence for the absence of publication bias in Registered Replication Reports and reliably avoids false positives, and is relatively robust to model misspecification and simulations show that it outperforms existing methods.
Adjusting for Publication Bias in JASP — Selection Models and Robust Bayesian Meta-Analysis
- František Bartoš, M. Maier, E. Wagenmakers
- Biology
- 16 October 2020
This tutorial demonstrates how to conduct a publication bias adjusted meta-analysis in JASP and introduces Robust Bayesian Meta-Analysis (RoBMA), a Bayesian extension of the frequentist selection models.
Associations Between Mode of Birth and Neuropsychological Development in Children Aged 4 Years: Results from a Birth Cohort Study
After stratifying by child sex, the positive association between CS and the Problem Solving domain was significant in boys, while no association was found in girls, and girls were rated less optimally in the Gross Motor domain of the ASQ when born via CS.
Z-curve 2.0: Estimating Replication and Discovery Rates
- František Bartoš
- Computer Science
- 2022
The main extension is an estimate of the expected discovery rate (EDR) – the estimate of a proportion that the reported statistically significant results constitute from all conducted statistical tests, which can be used to detect and quantify the amount of selection bias.
Informed Bayesian survival analysis
- František Bartoš, F. Aust, J. Haaf
- MathematicsBMC Medical Research Methodology
- 15 December 2021
Background We provide an overview of Bayesian estimation, hypothesis testing, and model-averaging and illustrate how they benefit parametric survival analysis. We contrast the Bayesian framework to…
No evidence for nudging after adjusting for publication bias
- Maximilian Maier, František Bartoš, T. Stanley, D. Shanks, Adam J. L. Harris, E. Wagenmakers
- PsychologyProceedings of the National Academy of Sciences…
- 19 July 2022
Thaler and Sunstein’s “nudge” (1) has spawned a revolution in behavioral science research. Despite its popularity, the “nudge approach” has been criticized for having a “limited evidence base” (e.g.,…
Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis
- František Bartoš, Maximilian Maier, Daniel S Quintana, E. Wagenmakers
- Computer ScienceAdvances in Methods and Practices in…
- 1 July 2022
This tutorial demonstrates how to conduct a publication-bias-adjusted meta-analysis in JASP and R and introduces robust Bayesian meta- analysis, a Bayesian approach that simultaneously considers both PET-PEESE and selection models.
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