Jorge Tendeiro

Professor

Hiroshima University

Japan

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Jorge Tendeiro is a Professor at Hiroshima University, Japan. His research areas include Bayesian statistics, particularly Bayes factors and their applications in biomedical research and psychology. He has recently published works on topics such as sample size determination in Bayesian tests, data-driven prior elicitation, and improving algorithmic decision-making through stakeholder engagement.

Jorge Tendeiro

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Articles (19)

Bayes factors for two-group comparisons in Cox regression with an application for reverse-engineering raw data from summary statistics

Bridging Null Hypothesis Testing and Estimation: A Practical Guide to Statistical Conclusion Drawing From Research in Psychology

Data-driven prior elicitation for Bayes factors in Cox regression for nine subfields in biomedicine

On a generalizable approach for sample size determination in Bayesian t tests

Practical implications of equating equivalence tests: Reply to Campbell and Gustafson (2022).

“Adding an egg” in algorithmic decision making: improving stakeholder and user perceptions, and predictive validity by enhancing autonomy

Diagnosing the Misuse of the Bayes Factor in Applied Research

Introduction to the Bayes factor

Assessment of fit of the time‐varying dynamic partial credit model using the posterior predictive model checking method

A review of applications of the Bayes factor in psychological research.

A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data

Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor.

The autonomy‐validity dilemma in mechanical prediction procedures: The quest for a compromise

On the white, the black, and the many shades of gray in between: Our reply to Van Ravenzwaaij and Wagenmakers (2021).

Education increases decision-rule use: An investigation of education and incentives to improve decision making.

The crit coefficient in Mokken scale analysis

Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person–Situation Interactions of Psychological Dynamics

Mixed-Effects Trait-State-Occasion Model

Does Functional Somatic Symptoms Measurement Differ Across Sex and Age? Differential Item Functioning in Somatic Symptoms Measured With the CIDI

Collaborators (14)

Koen Derks

Susan Niessen

Michael Lee

Daniel W. Heck

Paul‐Christian Bürkner

Annelieke Roest

Henk Kiers

Richard Morey

Zoltan Dienes

Marlyne Meijerink-Bosman

Rob R. Meijer

Bence Pálfi

Marvin Neumann

Eric‐Jan Wagenmakers

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