E
Ewoud Schuit
Researcher at Utrecht University
Publications - 194
Citations - 6550
Ewoud Schuit is an academic researcher from Utrecht University. The author has contributed to research in topics: Pregnancy & Medicine. The author has an hindex of 26, co-authored 160 publications receiving 4260 citations. Previous affiliations of Ewoud Schuit include Centra & Oklahoma State University Center for Health Sciences.
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Comparing methods addressing multi-collinearity when developing prediction models
Artuur Leeuwenberg,Maarten van Smeden,Johannes A. Langendijk,Arjen van der Schaaf,Murielle E. Mauer,Karel G.M. Moons,Johannes B. Reitsma,Ewoud Schuit +7 more
TL;DR: In this article, the authors compare different methods to address collinearity, including shrinkage, dimensionality reduction, and constrained optimization, and find that no effect of collincearity was observed on predictive outcomes.
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Prediction of fetal and neonatal outcomes after preterm manifestations of placental insufficiency: systematic review of prediction models.
Dianne G. Kleuskens,Floris Groenendaal,Wessel Ganzevoort,S. Gordijn,Bas B. van Rijn,A. Titia Lely,Ewoud Schuit,Judith Kooiman +7 more
TL;DR: In this article , a systematic literature search was performed to identify all prediction models on fetal and neonatal outcomes in pregnancies with preterm manifestations of placental insufficiency (i.e., gestational hypertension, pre-eclampsia, HELLP-syndrome or fetal growth restriction with its onset before 37 weeks of gestational age).
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Prediction of radiation-induced parotid gland-related xerostomia in head and neck cancer patients: regeneration-weighted dose.
Maria I. van Rijn – Dekker,Peter van Luijk,Ewoud Schuit,Arjen van der Schaaf,Johannes A. Langendijk,Roel J H M Steenbakkers +5 more
TL;DR: In this paper , the regeneration-weighted dose to the parotid gland was defined as Dreg PG = Dmean SCR region + r × Dmean non-SCR region, where Dreg is the regeneration weighted dose, Dmean is the mean dose, and r is the weighting factor.
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Replacing physical with virtual genetic tests: The importance of conscious methodological decisions:
Wouter B van Dijk,Ewoud Schuit +1 more
TL;DR: The ‘‘virtual genetic tests’’ to identify patients with causative familial hypercholesterolemia (FH) mutations presented by Pina et al. are essentially three prediction models based on supervised machine learning classifiers, developed in one and externally validated in another independent cohort, which could potentially be employed as alternatives for existing in vitro tests.
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Progestogen maintenance therapy for prolongation of pregnancy after an episode of preterm labour: A systematic review and meta-analysis.
Sofie Breuking,A. de Ruigh,Frederik J.R. Hermans,Ewoud Schuit,C. Andrew Combs,Begoña Martinez de Tejada,Martijn A. Oudijk,Ben W.J. Mol,Eva Pajkrt +8 more
TL;DR: In this article , the authors evaluated the effectiveness of progestogen maintenance therapy after an episode of preterm labor (PTL) and found that it might have a modest effect on prolonging the latency time.