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Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP

BMC medical research methodology, 2020-06, Vol.20 (1), p.142-142, Article 142

Kelter, Riko

2020

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Analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research

BMC medical research methodology, 2020-04, Vol.20 (1), p.88-88, Article 88

Kelter, Riko

2020

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fbst: An R package for the Full Bayesian Significance Test for testing a sharp null hypothesis against its alternative via the e value

Behavior research methods, 2022-06, Vol.54 (3), p.1114-1130

Kelter, Riko

2022

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Bayesian Hodges-Lehmann tests for statistical equivalence in the two-sample setting: Power analysis, type I error rates and equivalence boundary selection in biomedical research

BMC medical research methodology, 2021-08, Vol.21 (1), p.171-171, Article 171

Kelter, Riko

2021

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Reducing the false discovery rate of preclinical animal research with Bayesian statistical decision criteria

Statistical methods in medical research, 2023-10, Vol.32 (10), p.9622802231184636-1901

Kelter, Riko

2023

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Bayesian identification of structural coefficients in causal models and the causal false-positive risk of confounders and colliders in linear Markovian models

BMC medical research methodology, 2022-02, Vol.22 (1), p.58-58, Article 58

Kelter, Riko

2022

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Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality

Computational statistics, 2021-06, Vol.36 (2), p.1263-1288

Kelter, Riko

2021

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Simulation data for the analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research

BMC research notes, 2020-09, Vol.13 (1), p.452-452, Article 452

Kelter, Riko

2020

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A New Bayesian Two-Sample t Test and Solution to the Behrens–Fisher Problem Based on Gaussian Mixture Modelling with Known Allocations

Statistics in biosciences, 2022-12, Vol.14 (3), p.380-412

Kelter, Riko

2022

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bayest: An R Package for Effect-Size Targeted Bayesian Two-Sample t-Tests

Journal of open research software, 2020-06, Vol.8 (1), p.14

Kelter, Riko

2020

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How to Choose between Different Bayesian Posterior Indices for Hypothesis Testing in Practice

Multivariate behavioral research, 2023, Vol.58 (1), p.160-188

Kelter, Riko

2023

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Power analysis and type I and type II error rates of Bayesian nonparametric two-sample tests for location-shifts based on the Bayes factor under Cauchy priors

Computational statistics & data analysis, 2022-01, Vol.165, p.107326, Article 107326

Kelter, Riko

2022

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A toolbox to demystify probabilistic and statistical paradoxes

Frontiers in education (Lausanne), 2023-07, Vol.8

2023

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The Bayesian simulation study (BASIS) framework for simulation studies in statistical and methodological research

Biometrical journal, 2024-01, Vol.66 (1), p.e2200095-n/a

Kelter, Riko

2024

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The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation

British journal of mathematical & statistical psychology, 2022-11, Vol.75 (3), p.550-592

Kelter, Riko

2022

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Bayesian and frequentist testing for differences between two groups with parametric and nonparametric two‐sample tests

Wiley interdisciplinary reviews. Computational statistics, 2021-11, Vol.13 (6), p.e1523-n/a

Kelter, Riko

2021

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Bayesian model selection in the M-open setting — Approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator

Journal of mathematical psychology, 2021-02, Vol.100, p.102474, Article 102474

Kelter, Riko

2021

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The Calibrated Bayesian Hypothesis Test for Directional Hypotheses of the Odds Ratio in $$2\times 2$$ Contingency Tables

Statistics in biosciences, 2024-05

Kelter, Riko

2024

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Type I and II error rates of Bayesian two-sample tests under preliminary assessment of normality in balanced and unbalanced designs and its influence on the reproducibility of medical research

Journal of statistical computation and simulation, 2021-10, Vol.91 (15), p.3184-3206

Kelter, Riko

2021

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The Case of the Jeffreys-Lindley-paradox as a Bayes-frequentist Compromise: A Perspective Based on the Rao-Lovric-Theorem

Sankhya. Series. A, 2024-02, Vol.86 (1), p.337-363

Kelter, Riko

2024

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On the Measure-Theoretic Premises of Bayes Factor and Full Bayesian Significance Tests: a Critical Reevaluation: Commentary to Ly and Wagenmakers

Computational brain & behavior, 2022-12, Vol.5 (4), p.572-582

Kelter, Riko

2022

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bayesanova: An R package for Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models

The R journal, 2022-06, Vol.14 (1), p.54-78

Kelter, Riko

2022

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Bayesian Survival Analysis in STAN for Improved Measuring of Uncertainty in Parameter Estimates

Measurement (Mahwah, N.J.), 2020-04, Vol.18 (2), p.101-109

Kelter, Riko

2020

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The Bayesian Group-Sequential Predictive Evidence Value Design for Phase II Clinical Trials with Binary Endpoints

Statistics in biosciences, 2024-04

2024

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Statistical Frequency-Analysis of Misconceptions In Object-Oriented-Programming: Regularized PCR Models for Frequency Analysis across OOP Concepts and related Factors

Proceedings of the 18th Koli Calling International Conference on Computing Education Research, 2018, p.1-10

2018

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Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP

Analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research

fbst: An R package for the Full Bayesian Significance Test for testing a sharp null hypothesis against its alternative via the e value

Bayesian Hodges-Lehmann tests for statistical equivalence in the two-sample setting: Power analysis, type I error rates and equivalence boundary selection in biomedical research

Reducing the false discovery rate of preclinical animal research with Bayesian statistical decision criteria

Bayesian identification of structural coefficients in causal models and the causal false-positive risk of confounders and colliders in linear Markovian models

Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality

Simulation data for the analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research

A New Bayesian Two-Sample t Test and Solution to the Behrens–Fisher Problem Based on Gaussian Mixture Modelling with Known Allocations

bayest: An R Package for Effect-Size Targeted Bayesian Two-Sample t-Tests

How to Choose between Different Bayesian Posterior Indices for Hypothesis Testing in Practice

Power analysis and type I and type II error rates of Bayesian nonparametric two-sample tests for location-shifts based on the Bayes factor under Cauchy priors

A toolbox to demystify probabilistic and statistical paradoxes

The Bayesian simulation study (BASIS) framework for simulation studies in statistical and methodological research

The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation

Bayesian and frequentist testing for differences between two groups with parametric and nonparametric two‐sample tests

Bayesian model selection in the M-open setting — Approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator

The Calibrated Bayesian Hypothesis Test for Directional Hypotheses of the Odds Ratio in $$2\times 2$$ Contingency Tables

Type I and II error rates of Bayesian two-sample tests under preliminary assessment of normality in balanced and unbalanced designs and its influence on the reproducibility of medical research

The Case of the Jeffreys-Lindley-paradox as a Bayes-frequentist Compromise: A Perspective Based on the Rao-Lovric-Theorem

On the Measure-Theoretic Premises of Bayes Factor and Full Bayesian Significance Tests: a Critical Reevaluation: Commentary to Ly and Wagenmakers

bayesanova: An R package for Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models

Bayesian Survival Analysis in STAN for Improved Measuring of Uncertainty in Parameter Estimates

The Bayesian Group-Sequential Predictive Evidence Value Design for Phase II Clinical Trials with Binary Endpoints

Statistical Frequency-Analysis of Misconceptions In Object-Oriented-Programming: Regularized PCR Models for Frequency Analysis across OOP Concepts and related Factors

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