V
Valentijn M.T. de Jong
Researcher at Utrecht University
Publications - 20
Citations - 2372
Valentijn M.T. de Jong is an academic researcher from Utrecht University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 5, co-authored 13 publications receiving 1428 citations. Previous affiliations of Valentijn M.T. de Jong include University Medical Center Utrecht & Oklahoma State University Center for Health Sciences.
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Journal ArticleDOI
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants,Laure Wynants,Ben Van Calster,Ben Van Calster,Gary S. Collins,Gary S. Collins,Richard D Riley,Georg Heinze,Ewoud Schuit,Marc J.M. Bonten,Darren Dahly,Johanna A A G Damen,Thomas P. A. Debray,Valentijn M.T. de Jong,Maarten De Vos,Paula Dhiman,Paula Dhiman,Maria C Haller,Michael O. Harhay,Liesbet Henckaerts,Pauline Heus,Michael Kammer,Nina Kreuzberger,Anna Lohmann,Kim Luijken,Jie Ma,Glen P. Martin,David J. McLernon,Constanza L Andaur Navarro,Johannes B. Reitsma,Jamie C. Sergeant,Chunhu Shi,Nicole Skoetz,Luc J.M. Smits,Kym I E Snell,Matthew Sperrin,René Spijker,René Spijker,Ewout W. Steyerberg,Toshihiko Takada,Ioanna Tzoulaki,Ioanna Tzoulaki,Sander M. J. van Kuijk,Bas C T van Bussel,Bas C T van Bussel,Iwan C. C. van der Horst,Florien S. van Royen,Jan Y Verbakel,Jan Y Verbakel,Christine Wallisch,Christine Wallisch,Jack Wilkinson,Robert Wolff,Lotty Hooft,Karel G.M. Moons,Maarten van Smeden +55 more
TL;DR: Proposed models for covid-19 are poorly reported, at high risk of bias, and their reported performance is probably optimistic, according to a review of published and preprint reports.
Journal ArticleDOI
Sample size considerations and predictive performance of multinomial logistic prediction models
Valentijn M.T. de Jong,Marinus J.C. Eijkemans,Ben Van Calster,Ben Van Calster,Dirk Timmerman,Karel G.M. Moons,Ewout W. Steyerberg,Maarten van Smeden +7 more
TL;DR: A full‐factorial simulation study to examine the predictive performance of MLR models in relation to the relative size of outcome categories, number of predictors and the number of events per variable shows that MLR estimated by Maximum Likelihood yields overfitted prediction models in small to medium sized data.
Journal ArticleDOI
Individual participant data meta‐analysis of intervention studies with time‐to‐event outcomes: A review of the methodology and an applied example
Valentijn M.T. de Jong,Karel G.M. Moons,Richard D Riley,Catrin Tudur Smith,Anthony G Marson,Marinus J.C. Eijkemans,Thomas P. A. Debray +6 more
TL;DR: A narrative literature review is performed to provide an overview of methods for conducting an IPD‐MA of randomized intervention studies with a time‐to‐event outcome, and recommends exploring heterogeneity of the effect(s) through interaction and non‐linear effects.
Journal ArticleDOI
Evidence synthesis in prognosis research
TL;DR: A gentle overview of statistical methods that can be used to summarize data of prognostic factor and prognostic model studies and how aggregate data, individual participant data, or a combination thereof can be combined through meta-analysis methods is presented.
Journal ArticleDOI
Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis
Valentijn M.T. de Jong,Rebecca Z Rousset,Neftali Eduardo Antonio-Villa,A. G. Buenen,Ben Van Calster,O. Y. Bello-Chavolla,Nigel J. Brunskill,Vasa Curcin,Johanna A A G Damen,Carlos A Fermín-Martínez,Luisa Fernández-Chirino,Davide Ferrari,Robert C. Free,Rishi Gupta,Pranabashis Haldar,Pontus Hedberg,Steven Kwasi Korang,Steef Kurstjens,Ron Kusters,Rupert W. Major,Lauren Maxwell,Rajeshwari Nair,Pontus Naucler,Tri-Long Nguyen,Mahdad Noursadeghi,Rossana Rosa,Felipe Freitas Soares,Toshihiko Takada,Florien S. van Royen,Maarten van Smeden,Laure Wynants,Martin Modrak,Folkert W. Asselbergs,Marijke Linschoten,Karel G.M. Moons,Thomas P. A. Debray +35 more
TL;DR: Although the Knight 4C Mortality Score and Wang clinical model appeared most promising, recalibration (intercept and slope updates) is needed before implementation in routine care.