Decision curve analysis: confidence intervals and hypothesis testing for net benefit by Andrew J. Vickers, Ben Van Claster, Laure Wynants, Ewout W. Steyerberg

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Correction: Decision curve analysis: confidence intervals and hypothesis testing for net benefit by Andrew J. Vickers, Ben Van Calster, Laure Wynants, Ewout W. Steyerberg

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Number of Publications on New Clinical Prediction Models: A Bibliometric Review by Banafsheh Arshi, Laure Wynants, Eline Rijnhart, Kelly Reeve, Laura Elizabeth Cowley, Luc J Smits

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A comparison of modeling approaches for static and dynamic prediction of central line-associated bloodstream infections using electronic health records (part 2): random forest mode... by Elena Albu, Shan Gao, Pieter Stijnen, Frank E Rademakers, Christel Janssens, Veerle Cossey, Yves Debaveye, Laure Wynants, Ben Van Calster

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Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models by Elena Albu, Shan Gao, Pieter Stijnen, Frank E. Rademakers, Christel Janssens, Veerle Cossey, Yves Debaveye, Laure Wynants, Ben Van Calster

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A comparison of modeling approaches for static and dynamic prediction of central-line bloodstream infections using electronic health records (part 1): regression models by Shan Gao, Elena Albu, Hein Putter, Pieter Stijnen, Frank E Rademakers, Veerle Cossey, Yves Debaveye, Christel Janssens, Ben Van Calster, Laure Wynants

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Validation of prognostic models predicting mortality or ICU admission in patients with COVID-19 in low- and middle-income countries: a global individual participant data meta-analy... by Johanna A. A. Damen, Banafsheh Arshi, Maarten van Smeden, Silvia Bertagnolio, Janet V. Diaz, Ronaldo Silva, Soe Soe Thwin, Laure Wynants, Karel G. M. Moons

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A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes by Richard D. Riley, Gary S. Collins, Rebecca Whittle, Lucinda Archer, Kym I. E. Snell, Paula Dhiman, Laura Kirton, Amardeep Legha, Xiaoxuan Liu, Alastair K. Denniston, Frank E. Harrell, Laure Wynants, Glen P. Martin, Joie Ensor

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Boosting the accuracy of existing models by updating and extending: using a multicenter COVID-19 ICU cohort as a proxy by Daniek A. M. Meijs, Laure Wynants, Sander M. J. van Kuijk, Clarissa I. E. Scheeren, Anisa Hana, Jannet Mehagnoul-Schipper, Björn Stessel, Margot Vander Laenen, Eline G. M. Cox, Jan-Willem E. M. Sels, Luc J. M. Smits, Johannes Bickenbach, Dieter Mesotten, Iwan C. C. van der Horst, Gernot Marx, Bas C. T. van Bussel, CoDaP Investigators

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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation by Gary S. Collins, Karel G. M. Moons, Paula Dhiman, Richard D. Riley, Andrew L. Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B. Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair K. Denniston, Ben Glocker, Robert M. Golub, Hugh Harvey, Georg Heinze, Michael M. Hoffman, André Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W. Loder, Lena Maier-Hein, Bilal A. Mateen, Melissa D. McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep Singh, Laure Wynants, Patricia Logullo

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