Duco Veen

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Rens van de SchootUtrecht UniversityVerified email at uu.nl
Sarah DepaoliAssociate Professor of Quantitative Psychology, University of California, MercedVerified email at ucmerced.edu
Mariëlle Zondervan-ZwijnenburgAssistant Professor Utrecht UniversityVerified email at uu.nl
Kaspar MärtensUniversity of OxfordVerified email at stats.ox.ac.uk
Mahlet G. TadesseProfessor & Chair, Georgetown UniversityVerified email at georgetown.edu
Ruth KingThomas Bayes' Chair of Statistics, University of EdinburghVerified email at ed.ac.uk
Christopher YauUniversity of ManchesterVerified email at manchester.ac.uk
Marina VannucciNoah Harding Professor of Statistics, Rice UniversityVerified email at rice.edu
Jean-Paul FoxProfessor (Bayesian Psychometrics) University of TwenteVerified email at utwente.nl
Konrad KlotzkeUniversity of TwenteVerified email at utwente.nl
Hester den RuijterAssociate ProfessorVerified email at umcutrecht.nl
Marthe EgbertsUtrecht University - Department of Clinical PsychologyVerified email at uu.nl
Frank WijnenUtrecht UniversityVerified email at uu.nl
Maartje de KlerkPhD student, Utrecht UniversityVerified email at uu.nl
Sonja D WinterUC MercedVerified email at ucmerced.edu
Adriënne MendrikEyraVerified email at eyra.co
Wouter M. KouwEindhoven University of TechnologyVerified email at tue.nl
Professor Richard DobsonGroup lead and Professor in Bioinformatics, Kings College LondonVerified email at kcl.ac.uk
Billy Franks, PhDJulius ClinicalVerified email at juliusclinical.com
Brianna Goodale, PhDAva AGVerified email at ucla.edu

Duco Veen

Assistant Professor, University Medical Center Utrecht

Verified email at umcutrecht.nl - Homepage

Bayesian Statistics Expert Elicitation Bayesian Workflow Randomized Response


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Bayesian statistics and modelling R van de Schoot, S Depaoli, R King, B Kramer, K Märtens, MG Tadesse, ... Nature Reviews Methods Primers 1 (1), 1-26, 2021	34	2021
Proposal for a Five-Step Method to Elicit Expert Judgement D Veen, D Stoel, M Zondervan-Zwijnenburg, R van de Schoot Frontiers in psychology 8, 2110, 2017	26	2017
Meta‐analysis of the outcomes of treatment of internal carotid artery near occlusion AJA Meershoek, EE de Vries, D Veen, HM den Ruijter, GJ de Borst, ... The British journal of surgery 106 (6), 665, 2019	12	2019
Using the Data Agreement Criterion to Rank Experts’ Beliefs D Veen, D Stoel, N Schalken, K Mulder, R van de Schoot Entropy 20 (8), 592, 2018	11	2018
A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics R Van de Schoot, D Veen, L Smeets, SD Winter, S Depaoli Small Sample Size Solutions: A Guide for Applied Researchers and …, 2020	8	2020
Generalized Linear Mixed Models for Randomized Responses JP Fox, D Veen, K Klotzke Methodology, 2018	8	2018
The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity E Schat, R van de Schoot, WM Kouw, D Veen, AM Mendrik Plos one 15 (8), e0237009, 2020	7	2020
Expert Elicitation for Latent Growth Curve Models: The case of Posttraumatic Stress Symptoms Development in Children with Burn Injuries D Veen, M Egberts, N van Loey, R Van De Schoot Frontiers in Psychology 11, 1197, 2020	3	2020
A step forward: Bayesian hierarchical modelling as a tool in assessment of individual discrimination performance M de Klerk, D Veen, F Wijnen, E de Bree Infant Behavior and Development 57, 101345, 2019	3	2019
A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the remote early detection of … TB Brakenhoff, B Franks, BM Goodale, J van de Wijgert, S Montes, ... Trials 22 (1), 1-5, 2021	2	2021
Multivariate analysis for using the crosswise-and triangular method D Veen University of Twente, 2014	2	2014
The Importance of Collaboration in Bayesian Analyses with Small Samples D Veen, M Egberts Small Sample Size Solutions, 50-70, 2020	1	2020
Generalized Linear Randomized Response Modeling using GLMMRR JP Fox, K Klotzke, D Veen arXiv preprint arXiv:2106.10171, 2021		2021
Speech discrimination in infants at family risk of dyslexia: Group and individual-based analyses M de Klerk, E de Bree, D Veen, F Wijnen Journal of Experimental Child Psychology 206, 105066, 2021		2021
Systematically Defined Informative Priors in Bayesian Estimation: An Empirical Application on the Transmission of Internalizing Symptoms Through Mother-Adolescent Interaction … S Schulz, M Zondervan-Zwijnenburg, SA Nelemans, D Veen, ... Frontiers in psychology 12, 2021		2021
Alternative Information: Bayesian Statistics, Expert Elicitation and Information Theory in the Social Sciences D Veen Utrecht University, 2020		2020
Standard errors, priors, and bridge sampling: A Discussion of Liu et al. D Veen, I Klugkist Journal of the Korean Statistical Society 48, 515-517, 2019		2019
De relatie tussen leerling-en schoolkenmerken en digitale geletterdheid van 14-jarigen: secundaire analyses op de data van ICILS-2013 H Luyten, D Veen, M Meelissen Stichting Kennisnet, 2015		2015

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