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Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination2021 Journal of Clinical Epidemiology article Decision Sciences Meta-analysis and systematic reviews Open access
Esmée Venema, Benjamin S. Wessler, Jessica K. Paulus, Rehab Salah, Gowri Raman, Lester Y. Leung, +6 more
65citations -
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence2021 BMJ Open article Decision Sciences Meta-analysis and systematic reviews Open access cited by 1 patent
Professor Gary S. Collins, Paula Dhiman, Constanza L. Andaur Navarro, Jie Ma, Lotty Hooft, Johannes B. Reitsma, +7 more
844citations -
Revising model for end-stage liver disease from calendar-time cross-sections with correction for selection bias2024 BMC Medical Research Methodology article Medicine Organ Transplantation Techniques and Outcomes Open access
Hans C. de Ferrante, Marieke van Rosmalen, Bart Smeulders, Serge Vogelaar, Frits C. R. Spieksma
1citations -
Prediction model Risk Of Bias ASsessment Tool (PROBAST) shows high interrater reliability when scored by international experts on prediction modeling2025 Journal of Clinical Epidemiology article Decision Sciences Meta-analysis and systematic reviews Open access
Ype de Jong, Liselotte F.S. Langenhuijsen, Esmée Venema, Merel van Diepen
1citations -
Model fit is a fallible indicator of model quality in quantitative psychopathology research: A reply to Bader and Moshagen.2022 Journal of Psychopathology and Clinical Science article Decision Sciences Psychometric Methodologies and Testing Open access
Ashley Lauren Greene, Nicholas R. Eaton, Miriam K. Forbes, Eiko I. Fried, Ashley L. Watts, Roman Kotov, +1 more
25citations -
Concordance analysis of the short-form of the PROBAST as a screening tool: two-step risk of bias assessment showing only underestimation of risk of bias2026 Journal of Clinical Epidemiology article Decision Sciences Meta-analysis and systematic reviews Open access
Liselotte F.S. Langenhuijsen, Rolf H. H. Groenwold, Suzanne C. Cannegieter, Frederikus Albertus Klok, Merel van Diepen, Ype de Jong
0citations -
Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury2022 Diagnostic and Prognostic Research article Decision Sciences Meta-analysis and systematic reviews Open access
Isabel Retel Helmrich, Ana Mikolić, David M. Kent, Hester Floor Lingsma, Laure Wynants, Ewout Willem Steyerberg, +1 more
16citations -
A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter2023 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access
Jianbing Jin, Arjo J. Segers, Hong Liao, Ke Li, Bufan Xu, Wei Han, +2 more
14citations -
Systematic metareview of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement2023 Journal of Clinical Epidemiology article Decision Sciences Meta-analysis and systematic reviews Open access
Liselotte F.S. Langenhuijsen, Roemer J. Janse, Esmée Venema, David M. Kent, Merel van Diepen, Friedo Wilhelm Dekker, +2 more
19citations -
Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets2023 IEEE Open Journal of Engineering in Medicine and Biology article Computer Science Machine Learning in Healthcare Open access
Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, +5 more
12citations -
Data-centric approach to uncover and mitigate representation bias in AI segmentation of esophageal tumors on CT2026 European Journal of Radiology Artificial Intelligence article Computer Science Medical Image Segmentation Techniques Open access
Corentin Guérendel, Maria Joanna Valkema, Youssef Ghosn, Stephan Ursprung, Darren Cowzer, Steven J. Chen, +5 more
1citations -
KiDS-1000: Combined halo-model cosmology constraints from galaxy abundance, galaxy clustering, and galaxy-galaxy lensing2023 Astronomy and Astrophysics article Physics and Astronomy Cosmology and Gravitation Theories Open access
Andrej Dvornik, Catherine Heymans, Marika Asgari, Constance Mahony, Benjamin Joachimi, Maciej Bilicki, +10 more
50citations