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Researcher
Heidelinde Dehaene
Profile
Projects
Publications
Activities
Awards & Distinctions
7
Results
2024
Debiasing synthetic data generated by deep generative models
Alexander Decruyenaere
Heidelinde Dehaene
Paloma Rabaey
Johan Decruyenaere
Christiaan Polet
Thomas Demeester
Stijn Vansteelandt
C1
Conference
2024
The real deal behind the artificial appeal : inferential utility of tabular synthetic data
Alexander Decruyenaere
Heidelinde Dehaene
Paloma Rabaey
Christiaan Polet
Johan Decruyenaere
Stijn Vansteelandt
Thomas Demeester
P1
Conference
2024
2023
Exploring the effectiveness of clinical simulations to develop student teachers’ parent-teacher communication competence
Karen De Coninck
Karolien Keppens
Martin Valcke
Heidelinde Dehaene
Jan De Neve
Ruben Vanderlinde
A1
Journal Article
in
RESEARCH PAPERS IN EDUCATION
2023
Synthetic data : can we trust statistical estimators?
Alexander Decruyenaere
Heidelinde Dehaene
Paloma Rabaey
Christiaan Polet
Johan Decruyenaere
Stijn Vansteelandt
Thomas Demeester
C1
Conference
2023
2022
Analyzing latent outcomes via ranks
Heidelinde Dehaene
Jan De Neve
Yves Rosseel
Dissertation
2022
2021
A Wilcoxon–Mann–Whitney test for latent variables
Heidelinde Dehaene
Jan De Neve
Yves Rosseel
A1
Journal Article
in
FRONTIERS IN PSYCHOLOGY
2021
Semiparametric linear transformation models for indirectly observed outcomes
Jan De Neve
Heidelinde Dehaene
A1
Journal Article
in
STATISTICS IN MEDICINE
2021