Jacq Meulman
Professor emeritus Applied Statistics
- Name
- Prof.dr. J.J. Meulman
- Telephone
- +31 71 527 2727
- j.j.meulman@math.leidenuniv.nl
- ORCID iD
- 0000-0001-5447-7195
PhD Candidates
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Former PhD candidates
Director Luxs BV
- Bestuursbureau
- Financien
- LEH
Professor emeritus Applied Statistics
- Science
- Mathematisch Instituut
- Mathematisch Instituut
- Zwep L.B., Guo T., Nagler T.W., Knibbe C.A.J., Meulman J.J. & Hasselt J.G.C. van (2024), Virtual patient simulation using copula modeling, Clinical Pharmacology & Therapeutics 115(4): 795-804.
- Kurchaba S., Vliet J. van, Verbeek F.J., Meulman J.J. & Veenman C.J. (2022), Supervised segmentation of NO2 plumes from individual ships using TROPOMI satellite data, Remote Sensing 14(22): 5809.
- Zwep L.B., Duisters K.L.W., Jansen M., Guo T., Meulman J.J., Upadhyay P. & Hasselt J.G.C. (2021), Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling, CPT: Pharmacometrics and Systems Pharmacology 10(4): 350-361.
- Zwep L.B., Haakman Y., Duisters K.L.W., Meulman J.J., Liakopoulos A. & Hasselt J.G.C. van (2021), Identification of antibiotic collateral sensitivity and resistance interactions in population surveillance data, JAC-Antimicrobial Resistance 3(4): dlab175.
- Kurchaba S., Vliet J. van, Meulman J.J., Verbeek F.J. & Veenman C.J. (2021), Improving evaluation of NO2 emission from ships using spatial association on TROPOMI satellite data. Meng X., Wang F., Lu C.T., Huang Y., Shekhar S. & Xie X. (Eds.), Proceedings of the 29th International Conference on Advances in Geographic Information Systems. SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems 2 November 2021 - 5 November 2021. New York, U.S.A.: ACM. 454-457.
- Li X., Dusseldorp E.M.L., Su X. & Meulman J.J. (2020), Multiple moderator meta-analysis using the R-package Meta-CART, Behavior Research Methods 52(6): 2657-2673.
- Li X., Dusseldorp E.M.L. & Meulman J.J. (2017), Meta-CART: A tool to identify interactions between moderators in meta-analysis, British Journal of Mathematical and Statistical Psychology 70(1): 118-136.
- Willems S.J.W., Fiocco M. & Meulman J.J. (2017), Optimal scaling for survival analysis with ordinal data, Computational Statistics & Data Analysis 115: 155-171.
- Draisma H.H., Reijmers T.H., Meulman J.J., Greef J. van der, Hankemeier T. & Boomsma D.I. (2013), Hierarchical clustering analysis of blood plasma lipidomics profiles from mono- and dizygotic twin families, European Journal of Human Genetics 21(1): 95-101.
- Wietmarschen H.A. van, Dai W., Kooij A.J. van der, Reijmers T.H., Schroën Y., Wang M., Xu Z., Wang X., Kong H., Xu G., Hankemeier T., Meulman J.J. & Greef J. van der (2012), Characterization of rheumatoid arthritis subtypes using symptom profiles, clinical chemistry and metabolomics measurements, PLoS ONE 7(9): e44331.
- Rippe R.C.A., Meulman J.J. & Eilers P.H. (2012), Correction of fluorescence bias on Affymetrix genotyping microarrays, Journal of Chemometrics 26(5): 191-196.
- Meulman J.J., Dusseldorp E. & Van Os B.J. (2011), An exact dynamic programming algorithm for regression and classification trees. In: Heijden M. van der, Koren B., Mei R. van der & Vonderen C. van (Eds.), The Travelling Science Man. Amsterdam: CWI. 190-208.
- Lombardo R. & Meulman J.J. (2010), Multiple correspondence analysis via polynomial transformations of ordered categorical variables, Journal of Classification 27: 191-210.
- Van der Kooij A.J. & Meulman J.J. (2008), Enhanced CATREG procedure in SPSS 17, Categories Add-on Module. [other].
- Verblijf 130 dagen verspreid over het jaar in Department of Statistics, Stanford University