Edwin Van Den Heuvel, PhD

Adjunct Professor, Boston University Chobanian & Avedisian School of Medicine

Biography

Dr. Edwin van den Heuvel studied mathematics at the University of Amsterdam, where he also obtained his PhD in mathematical statistics. He has been working as a consultant on quality control and quality improvement, he has been a director of a statistical unit in a pharmaceutical company for more than eight years, and he has been a professor of medical statistics at the University of Groningen. He considers himself as an all-round research statistician with a broad range of expertise and he specializes in the analysis of complex structured data sets.

Publications

  • Published 9/16/2025

    de Klerk ND, Berben PB, der Ven MV, Fransen AF, van der Hout-van der Jagt MB, Oei SG, van Laar JO, van den Heuvel ER. Optimizing clinical scientific research: the cohort intervention random sampling study with historical controls. J Comp Eff Res. 2025 Sep 16; e240168. PMID: 40955624.

    Read at: PubMed

  • Published 9/4/2025

    Deneer R, Zhan Z, Van den Heuvel E, van Boxtel AG, Boer AK, van Riel NA, Scharnhorst V. A comparison of semi-parametric statistical modeling approaches to dynamic classification of irregularly and sparsely sampled curves. Stat Methods Med Res. 2025 Sep 04; 9622802251374288. PMID: 40905767.

    Read at: PubMed

  • Published 7/22/2025

    Berben PBQ, de Klerk ND, van der Ven M, Fransen AF, Niemarkt HJ, van den Heuvel ER, van der Hout-van der Jagt MB, Oei SG, van Laar JOEH. Non-invasive electrophysiological monitoring vs conventional monitoring during labour in a tertiary obstetric care centre in the Netherlands: study protocol of a cohort intervention random sampling study (NIEM-II study). BMJ Open. 2025 Jul 22; 15(7):e102901. PMID: 40701589.

    Read at: PubMed

  • Published 5/9/2025

    van Tetering AAC, de Vries EL, Ntuyo P, van den Heuvel ER, Fransen AF, van der Hout-van der Jagt MB, Namagembe I, Byamugisha J, Oei SG. Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial. JMIR Med Educ. 2025 May 09; 11:e54911. PMID: 40344206.

    Read at: PubMed

  • Published 12/21/2024

    Huang C, Long X, van der Ven M, Kaptein M, Oei SG, van den Heuvel E. Predicting preterm birth using electronic medical records from multiple prenatal visits. BMC Pregnancy Childbirth. 2024 Dec 21; 24(1):843. PMID: 39709388.

    Read at: PubMed

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Other Positions

  • Professor, Biostatistics
    Boston University School of Public Health

Websites

Education

  • University of Amsterdam, PhD
  • University of Amsterdam, MSc

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