Nanoplastics causes extensive congenital malformations during embryonic development by passively targeting neural crest cells

Autor: Meiru Wang, Martin Rücklin, Robert E. Poelmann, Carmen L. de Mooij, Marjolein Fokkema, Gerda E.M. Lamers, Merijn A.G. de Bakker, Ernest Chin, Lilla J. Bakos, Federica Marone, Bert J. Wisse, Marco C. de Ruiter, Shixiong Cheng, Luthfi Nurhidayat, Martina G. Vijver, Michael K. Richardson

Publikováno v: Environment International, Vol 173, Iss , Pp 107865- (2023)

Nanomaterials are widespread in the human environment as pollutants, and are being actively developed for use in human medicine. We have investigated how the size and dose of polystyrene nanoparticles affects malformations in chicken embryos, and hav

Externí odkaz: https://doaj.org/article/f172de64c5f64b42824c1716671e332e

Fitting Prediction Rule Ensembles with R Package pre

Autor: Marjolein Fokkema

Publikováno v: Journal of Statistical Software, Vol 92, Iss 1, Pp 1-30 (2020)

Prediction rule ensembles (PREs) are sparse collections of rules, offering highly interpretable regression and classification models. This paper shows how they can be fitted using function pre from R package pre, which derives PREs largely through th

Externí odkaz: https://doaj.org/article/6a7547128e2d4f06b337c75d76346d52

Machine Learning and Prediction in Psychological Assessment

Autor: Marjolein Fokkema, Dragos Iliescu, Samuel Greiff, Matthias Ziegler

Publikováno v: European Journal of Psychological Assessment, 38(3), 165-175. Hogrefe Publishing Group

Abstract. Modern prediction methods from machine learning (ML) and artificial intelligence (AI) are becoming increasingly popular, also in the field of psychological assessment. These methods provide unprecedented flexibility for modeling large numbe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86df2e83f854c0cbaccefcfafe89726e
https://doi.org/10.1027/1015-5759/a000714

Effectiveness of an online self‐help program, expert‐patient support, and their combination for eating disorders

Autor: Pieter J. Rohrbach, Alexandra E. Dingemans, Philip Spinhoven, Joost R. Van Ginkel, Marjolein Fokkema, Tom F. Wilderjans, Stephanie Bauer, Eric F. Van Furth

Publikováno v: International Journal of Eating Disorders, 55(10), 1361-1373. WILEY
Rohrbach, P, Dingemans, A E, Spinhoven, P, Ginkel, J R V, Fokkema, M, Wilderjans, T F, Bauer, S & Furth, E F V 2022, ' Effectiveness of an online self-help program, expert-patient support, and their combination for eating disorders : Results from a randomized controlled trial ', International Journal of Eating Disorders, vol. 55, no. 10, pp. 1361–1373 . https://doi.org/10.1002/eat.23785
International Journal of Eating Disorders, 55(10). John Wiley and Sons Inc.
International Journal of Eating Disorders, 55(10), 1361-1373. Wiley

OBJECTIVE: Many individuals with an eating disorder do not receive appropriate care. Low-threshold interventions could help bridge this treatment gap. The study aim was to evaluate the effectiveness of Featback, a fully automated online self-help int

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9a8bb4d4ac18f2919ac5a9395127ee1
https://doi.org/10.1002/eat.23785

SEM-based out-of-sample predictions

Autor: Mark de Rooij, Julian D. Karch, Marjolein Fokkema, Zsuzsa Bakk, Bunga Citra Pratiwi, Henk Kelderman

Publikováno v: Structural Equation Modeling: A Multidisciplinary Journal, 1-17. Informa UK Limited
STARTPAGE=1;ENDPAGE=17;TITLE=Structural Equation Modeling: A Multidisciplinary Journal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bba9e1215020003e8cfd1814a64ff1bd
https://doi.org/10.1080/10705511.2022.2061494