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Koen Derks

Associate Professor

Nyenrode Business University

Netherlands

Research Interests

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Professors in Netherlands Professors in Statistics Statistics professors in Netherlands

About

Koen Derks is an Assistant Professor at Nyenrode Business University in the Netherlands. His research interests encompass Bayesian methodologies, statistical evidence quantification, and data analysis applications, as evidenced by his recent articles on topics such as audit transparency and the implications of digital competencies for auditors. He is committed to exploring innovative statistical approaches to enhance auditing practices and improve the understanding of psychological research through the Bayes factor.

Articles (18)

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Collaborators (27)

Corinna Michels

Macromedia University of Applied Sciences

GERMANY

Koen Derks

Research Interests

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Articles (18)

No-code software als didactische opstap voor het ontwikkelen van datageletterdheid

Increasing Efficiency in Stratified Audit Sampling via Bayesian Hierarchical Modelling

Practical Benefits of Discounting Historical Audit Samples Using Normalized Power Priors

How open was accounting research in 2025? An analysis of open science practices in leading journals

Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips

Efficiëntere detailcontroles dankzij synergie van statistische en digitale technieken: profiteren van integraal beschikbare gegevens

Toepassing van data-analyse om de steekproef te rationaliseren

The Bayesian Approach to Audit Evidence: Quantifying Statistical Evidence Using the Bayes Factor

Developing digital competencies of controllers: Evidence from the Netherlands

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

﻿Open-source software als brug tussen de auditor en de statisticus

﻿Een Bayesiaanse blik op gestratificeerde steekproeven heeft voordelen voor de auditor

Priors in a Bayesian audit: How integration of existing information into the prior distribution can improve audit transparency and efficiency

Strong public claims may not reflect researchers' private convictions

Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.

A tutorial on conducting and interpreting a bayesian ANOVA in JASP,Tutoriel pour réaliser et interpréter une analyse de variance bayésienne dans JASP

The JASP guidelines for conducting and reporting a Bayesian analysis

The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test

Collaborators (27)

Corinna Michels

Michael Lee

Justin Landy

Elizabeth Mullen

Anthony Lantian

Andrei Cimpian

Daniel W. Heck

Peter Babinčák

Olga Kombeiz

Paul‐Christian Bürkner

Daniel Storage

Alexandra Sarafoglou

Andrew Hafenbrack

Ian Dawson

Jorge Tendeiro

Henk Kiers

Johnny van Doorn

Philipp Otto

František Bartoš

Zoltan Dienes

Marlyne Meijerink-Bosman

Bence Pálfi

Mariola Paruzel-Czachura

Adam Hahn

Alexander Etz

Tim Draws

Sarah Otner

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Open-source software als brug tussen de auditor en de statisticus

Een Bayesiaanse blik op gestratificeerde steekproeven heeft voordelen voor de auditor