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Laure Wynants

ku leuven

40H-index
162Paper Count
1.3WCitation Count
Published Papers 61
Publication Date
Recent criteria and simple rules agreed often on required sample size for developed clinical prediction models
err2026-08-12
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errOAAI
errEwout Steyerberg; Toby Hackmann; Ben van Calster; Maarten van Smeden; Laure Wynants
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Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection
err2026-04-21
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errOAAI
errShan Gao; Elena Albu; Pieter Stijnen; Frank Rademakers; Veerle Cossey; Yves Debaveye; Christel Janssens; Ben Van Calster; Laure Wynants
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The continuous net benefit: assessing the clinical utility of prediction models when informing a continuum of decisions
err2026-02-17
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errOAAI
errBenitez-Aurioles, Jose; Wynants, Laure; Peek, Niels; Goodley, Patrick; Crosbie, Philip; Sperrin, Matthew
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Bayesian Sample Size Calculations for External Validation Studies of Risk Prediction Models
err2026-02-01
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errOAAI
errSadatsafavi, Mohsen; Gustafson, Paul; Setayeshgar, Solmaz; Wynants, Laure; D Riley, Richard
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Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance
err2025-12-13
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errOAAI
errBen Van Calster; Gary S Collins; Andrew J Vickers; Laure Wynants; Kathleen F Kerr; Lasai Barreñada; Gael Varoquaux; Karandeep Singh; Karel GM Moons; Tina Hernandez-Boussard; Dirk Timmerman; David J McLernon; Maarten van Smeden; Ewout W Steyerberg
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Clustered flexible calibration plots for binary outcomes using random effects modeling
err2025-12-01
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errOAAI
errBarrenada, Lasai; De Cock Campo, Bavo; Wynants, Laure; Van Calster, Ben
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missForestPredict-Missing data imputation for prediction settings
err2025-11-07
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PREAI
errAlbu, Elena; Gao, Shan; Wynants, Laure; Van Calster, Ben
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Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: a systematic review and meta-analysis of external validation studies
err2025-10-01
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PREAI
errBarrenada, Lasai; Ledger, Ashleigh; Kotlarz, Agnieszka; Dhiman, Paula; Collins, Gary Stephen; Wynants, Laure; Verbakel, Jan Yvan Jos; Valentin, Lil; Timmerman, Dirk; Van Calster, Ben
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External validation, impact assessment and clinical utilization of clinical prediction models: a prospective cohort study
err2025-07-16
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PREAI
errBanafsheh Arshi; Laura Elizabeth Cowley; Eline Rijnhart; Kelly Reeve; Luc J. Smits; Laure Wynants
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Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models
err2025-04-24
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errOAAI
errAlbu, Elena; Gao, Shan; Stijnen, Pieter; Rademakers, Frank E.; Janssens, Christel; Cossey, Veerle; Debaveye, Yves; Wynants, Laure; Van Calster, Ben
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Expected Value of Sample Information Calculations for Risk Prediction Model Validation
err2025-02-18
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PREAI
errSadatsafavi, Mohsen; Vickers, Andrew J.; Lee, Tae Yoon; Gustafson, Paul; Wynants, Laure
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The definition of predictor and outcome variables in mortality prediction models: a scoping review and quality of reporting study
err2025-02-01
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errCox, Eline G. M.; Meijs, Daniek A. M.; Wynants, Laure; Sels, Jan-Willem E. M.; Koeze, Jacqueline; Keus, Frederik; van Dongen, Bianca Bos; van der Horst, Iwan C. C.; van Bussel, Bas C. T.
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Boosting the accuracy of existing models by updating and extending: using a multicenter COVID-19 ICU cohort as a proxy
err2024-11-01
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errOAAI
errMeijs, Daniek A. M.; Wynants, Laure; van Kuijk, Sander M. J.; Scheeren, Clarissa I. E.; Hana, Anisa; Mehagnoul-Schipper, Jannet; Stessel, Bjorn; Vander Laenen, Margot; Cox, Eline G. M.; Sels, Jan-Willem E. M.; Smits, Luc J. M.; Bickenbach, Johannes; Mesotten, Dieter; van der Horst, Iwan C. C.; Marx, Gernot; van Bussel, Bas C. T.
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Table 0; documenting the steps to go from clinical database to research dataset (vol 170, 111342, 2024)
err2024-08-01
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PREAI
errde Kok, Jip W. T. M.; van Bussel, Bas C. T.; Schnabel, Ronny; van Herpt, Thijs T. W.; Driessen, Rob G. H.; Meijs, Daniek A. M.; Goossens, Joep A.; Mertens, Helen J. M. M.; van Kuijk, Sander M. J.; Wynants, Laure; van der Horst, Iwan C. C.; van Rosmalen, Frank
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Table 0 documenting the steps to go from clinical database to research dataset
err2024-06-01
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PREAI
errde Kok, Jip W. T. M.; van Bussel, Bas C. T.; Schnabel, Ronny; van Herpt, Thijs T. W.; Driessen, Rob G. H.; Meijs, Daniek A. M.; Goossens, Joep A.; Mertens, Helen J. M. M.; van Kuijk, Sander M. J.; Wynants, Laure; van der Horst, Iwan C. C.; van Rosmalen, Frank
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TRIPOD plus AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
err2024-04-16
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errOAAI
errCollins, Gary S.; Moons, Karel G. M.; Dhiman, Paula; Riley, Richard; Beam, Andrew L.; Van Calster, Ben; Ghassemi, Marzyeh; Liu, Xiaoxuan; Reitsma, Johannes B.; van Smeden, Maarten; Boulesteix, Anne-Laure; Camaradou, Jennifer Catherine; Celi, Leo Anthony; Denaxas, Spiros; Denniston, Alastair K.; Glocker, Ben; Golub, Robert M.; Harvey, Hugh; Heinze, Georg; Hoffman, Michael M.; Kengne, Andre Pascal; Lam, Emily; Lee, Naomi; Loder, Elizabeth W.; Maier-Hein, Lena; Mateen, Bilal A.; McCradden, Melissa; Oakden-Rayner, Lauren; Ordish, Johan; Parnell, Richard; Rose, Sherri; Singh, Karandeep; Wynants, Laure; Logullo, Patricia
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Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA-1 multinomial regression model: validation study
err2024-03-04
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errOAAI
errHeremans, R.; Wynants, L.; Valentin, L.; Leone, F. P. G.; Pascual, M. A.; Fruscio, R.; Testa, A. C.; Buonomo, F.; Guerriero, S.; Epstein, E.; Bourne, T.; Timmerman, D.; Van den Bosch, T.
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ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies
err2024-02-17
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errOAAI
errBarrenada, Lasai; Ledger, Ashleigh; Dhiman, Paula; Collins, Gary; Wynants, Laure; Verbakel, Jan Y.; Timmerman, Dirk; Valentin, Lil; Van Calster, Ben
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Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward
err2024-01-01
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errOAAI
errDeisenhofer, Anne-Katharina; Barkham, Michael; Beierl, Esther T.; Schwartz, Brian; Aafjes-van Doorn, Katie; Beevers, Christopher G.; Berwian, Isabel M.; Blackwell, Simon E.; Bockting, Claudi L.; Brakemeier, Eva-Lotta; Brown, Gary; Buckman, Joshua E. J.; Castonguay, Louis G.; Cusack, Claire E.; Dalgleish, Tim; de Jong, Kim; Delgadillo, Jaime; DeRubeis, Robert J.; Driessen, Ellen; Ehrenreich-May, Jill; Fisher, Aaron J.; Fried, Eiko I.; Fritz, Jessica; Furukawa, Toshi A.; Gillan, Claire M.; Penedo, J. M. Gomez; Hitchcock, Peter F.; Hofmann, Stefan G.; Hollon, Steven D.; Jacobson, Nicholas C.; Karlin, Daniel R.; Lee, Chi Tak; Levinson, Cheri A.; Lorenzo-Luaces, Lorenzo; McDanal, Riley; Moggia, Danilo; Ng, Mei Yi; Norris, Lesley A.; Patel, Vikram; Piccirillo, Marilyn L.; Pilling, Stephen; Rubel, Julian A.; Salazar-de-Pablo, Gonzalo; Schleider, Jessica L.; Schnurr, Paula P.; Schueller, Stephen M.; Siegle, Greg J.; Uher, Rudolf; Watkins, Ed; Webb, Christian A.; Stirman, Shannon Wiltsey; Wynants, Laure; Youn, Soo Jeong; Zilcha-Mano, Sigal; Lutz, Wolfgang; Cohen, Zachary D.
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