prof. dr. ir. M.J.C. (René) Eijkemans
Full Professor
- Department of Biostatistics and Research Support
- Julius Center Research Program Infectious Diseases
- Julius Center Research Program Methodology
Contact
Biography
Rene Eijkemans obtained an MSc in Mathematics from Delft University of Technology. He has been working as a researcher and statistical consultant in a wide variety of clinical settings: cardiology, cancer, gynecology, thoracic and general surgery and virology, with an emphasis on prediction models in reproductive medicine. In total, he has (co)authored more than 80 international peer reviewed articles on predictive models, with various clinical purposes, in reproductive medicine, making him world-leading in that area. he has gradually shifted his focus to 'omics' research and machine learning. His current research topic, ‘making prediction and classification modelling more clinically useful’, is the natural confluence of these activities in machine learning, his experience in a variety of clinical settings and his knowledge of what is required for clinical application of predictive models.
Side Activities
Chair of the Finance and Budget Committee of the International Biometric Society (IBS)
National representative and Member of the Representative Councel of the International Biometric Society (IBS)
Treasurer of the Local organizing Committee of the conference of the International Society for Clinical Biostatistics (ISCB) in 2015 in Utrecht
Fellowship and Awards
None
Research Output (280)
The cardiovascular risk profile of middle-aged women with polycystic ovary syndrome
Meun Cindy, Gunning Marlise N., Louwers Yvonne, V, Peters Henrike, Roos-Hesselink Jolien, van Lennep Jeanine Roeters, Rueda Ochoa Oscar-Leonel, Appelman Yolande, Lambalk Nils, Boersma Eric, Kavousi Maryam, Fauser Bart C. J. M., Laven Joop S. E., Baart Sara, Benschop Laura, Brouwers Laura, Budde Ricardo, Cannegieter Suzanne, Dam Veerle, Eijkemans Rene, Fauser Bart C. J. M., Ferrari Michel, Franx Arie, de Groot Christianne, Gunning Marlise N., Hoek Annemieke, Koffijberg Erik, Koster Wendy, Kruit Mark, Lagerweij Giske, Laven Joop, Linstra Katie, van der Lugt Aad, Maas Angela, van den Brink Antoinette Maassen, Middeldorp Saskia, Moons Karel G. M., van Rijn Bas, Scheres Luuk, van der Schouw Yvonne T., Steegers Eric, Steegers Regine, Terwindt Gisela, Velthuis Birgitta, Wermer Marieke, Zick Bart, Zoet Gerbrand 1 feb 2020, In: Clinical Endocrinology. 92 , p. 150-158 9 p.
Cardiometabolic health in offspring of women with PCOS compared to healthy controls:a systematic review and individual participant data meta-analysis
Gunning Marlise N, Sir Petermann Teresa, Crisosto Nicolas, van Rijn Bas B, de Wilde Marlieke A, Christ Jacob P, Uiterwaal C S P M, de Jager Wilco, Eijkemans Marinus J C, Kunselman Allen R, Legro Richard S, Fauser Bart C J M 1 jan 2020, In: Human Reproduction Update. 26 , p. 103-117 15 p.
The cardiovascular risk profile of middle age women previously diagnosed with premature ovarian insufficiency:A case-control study
Gunning Marlise N, Meun Cindy, van Rijn Bas B, Daan Nadine M P, Roeters van Lennep Jeanine E, Appelman Yolande, Boersma Eric, Hofstra Leonard, Fauser Clemens G K M, Rueda-Ochoa Oscar L, Ikram Mohammad A, Kavousi Maryam, Lambalk Cornelis B, Eijkemans Marinus J C, Laven Joop S E, Fauser Bart C J M, 1 jan 2020, In: PLoS ONE. 15 17 p.
Individualized ovarian stimulation in IVF/ICSI treatment:it is time to stop using high FSH doses in predicted low responders
Leijdekkers Jori A, Torrance Helen L, Schouten Nienke E, van Tilborg Theodora C, Oudshoorn Simone C, Mol Ben Willem J, Eijkemans Marinus J C, Broekmans Frank J M 15 dec 2019, In: Human Reproduction. 35 , p. 1954-1963 10 p.
Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning
van Amsterdam W. A. C., Verhoeff J. J. C., de Jong P. A., Leiner T., Eijkemans M. J. C. 10 dec 2019, In: NPJ DIGITAL MEDICINE. 2 , p. 122
Individual participant data meta-analysis of intervention studies with time-to-event outcomes:A review of the methodology and an applied example
de Jong Valentijn M T, Moons Karel G M, Riley Richard D, Smith Catrin Tudur, Marson Anthony G, Eijkemans Marinus J C, Debray Thomas P A 23 nov 2019, In: Research synthesis methods. 11 , p. 148-168 21 p.
A comparison of the beta-geometric model with landmarking for dynamic prediction of time to pregnancy
van Eekelen Rik, Putter Hein, McLernon David J, Eijkemans Marinus J, van Geloven Nan 18 nov 2019, In: Biometrical Journal. 62 , p. 175-190 16 p.
Can Menopause Prediction Be Improved with Multiple AMH Measurements? Results from the Prospective Doetinchem Cohort Study
De Kat Annelien C., Van Der Schouw Yvonne T., Eijkemans Marinus J.C., Broer Simone L., Verschuren W. M.Monique, Broekmans Frank J.M. 1 nov 2019, In: Journal of Clinical Endocrinology and Metabolism. 104 , p. 5024-5031 8 p.
Incorporating repeated measurements into prediction models in the critical care setting:a framework, systematic review and meta-analysis
Plate Joost D J, van de Leur Rutger R, Leenen Luke P H, Hietbrink Falco, Peelen Linda M, Eijkemans M J C 26 okt 2019, In: BMC Medical Research Methodology. 19
What is the prognosis for a live birth after unexplained recurrent implantation failure following IVF/ICSI?
Koot Y E M, Hviid Saxtorph M, Goddijn M, de Bever S, Eijkemans M J C, Wely M V, van der Veen F, Fauser B C J M, Macklon N S 2 okt 2019, In: Human Reproduction. 34 , p. 2044-2052 9 p.