Researcher
Marc AERTS
- Keywords:Mathematics
- Disciplines:Biology and other natural sciences, Statistics
Affiliations
- Data Science Institute (Research institute)
Member
From1 Jun 2019 → Today - Mathematics and statistics (Department)
Member
From1 Jan 2013 → Today - Faculty of Sciences (Faculty)
Member
From1 Oct 2009 → Today - Research Institute Center for Statistics (Research institute)
Responsible
From1 Mar 2009 → 31 May 2019 - Applied Mathematics (Department)
Member
From1 Oct 2001 → 31 Dec 2012 - Faculty of Business Economics (Faculty)
Member
From1 Oct 1994 → 30 Sep 2009 - Centre for Statistics (Research group)
Responsible
From1 Oct 1994 → 30 Sep 2019 - Research Institute Center for Statistics (Research institute)
Member
From1 Oct 1994 → 31 May 2019 - Mathematics-Physics-Informatics (Division)
Member
From1 Oct 1994 → 30 Sep 2009 - Centre for Statistics (Research group)
Member
From1 Oct 1994 → Today
Projects
1 - 10 of 34
- Modeling approaches for benchmark doseFrom20 Apr 2021 → TodayFunding: Other EU initiatives out of framework
- DSI COVID-19 teamFrom15 Jun 2020 → TodayFunding: BOF - projects
- Identification of determinants of antibiotic use and improvement of prescribing behavior using innovative statistical approachesFrom1 Oct 2018 → 30 Jun 2021Funding: FWO fellowships
- Experimental analysis of temperature effects on intraspecific biodiversity dynamicsFrom1 Oct 2017 → 30 Sep 2021Funding: BOF - doctoral mandates, BOF - Doctoral projects
- The development and application of flexible multivariate
models for current status data and count data with applications to HIV
serodiscordance among couples and abortion, perinatal and infant
mortality in Mozambique.From1 Jul 2017 → 31 Dec 2021Funding: BOF - Bilateral scientific cooperation
- A statistical framework to correct for preferential sampling in biodiversity studiesFrom1 Oct 2016 → 30 Sep 2019Funding: FWO fellowships
- Assistance to the Assessment and Methodological support Unit for the provision of services to EFSA on the use of machine learning techniques for literature reviews and systematic reviews in EFSA.From14 Sep 2016 → 13 Mar 2018Funding: Other EU initiatives out of framework
- Online Proctoring for Remote ExaminationFrom1 Sep 2016 → 31 Aug 2019Funding: Foreign public sponsor
- IOF mandate Sarah VercruysseFrom1 Jan 2015 → 30 Jun 2019Funding: IOF - Industrial Research Fund
- Development and application of statistical methodology for analysis of the phenomenon of multi-drug resistance in the EU: demonstration of analytical approaches using antimicrobial resistance isolate-based data.From9 Dec 2014 → 8 Jun 2016Funding: Other EU initiatives out of framework
Publications
1 - 10 of 168
- HIV risk factors among adolescent and young adults: A geospatial–temporal analysis of Mozambique AIDS indicator survey data(2022)
Authors: Rachid MULEIA, Marc AERTS, Osvaldo Loquiha, Christel FAES
Number of pages: 13 - cyanoFilter: An R package to identify phytoplankton populations from flow cytometry data using cell pigmentation and granularity(2021)
Authors: Oluwafemi OLUSOJI, Jurg W. Spaak, Mark Holmes, Thomas NEYENS, Marc AERTS, Frederik De Laender
Number of pages: 7 - Graduate Education in Statistics and Data Science: The Why, When, Where, Who, and What(2021)
Authors: Marc AERTS, Geert MOLENBERGHS, Olivier THAS
Pages: 25 - 39Number of pages: 15 - Multi-population stochastic modeling of Ebola in Sierra Leone: Investigation of spatial heterogeneity(2021)
Authors: Rachid MULEIA, Marc AERTS, Christel FAES, Maria Vittoria Barbarossa
- Measuring association among censored antibody titer data(2021)
Authors: Thao M. P. Tran, Steven ABRAMS, Marc AERTS, Kirsten Maertens, Niel HENS
Pages: 3740 - 3761 - Factors associated with HIV serodiscordance among couples in Mozambique: Comparison of the 2009 INSIDA and 2015 IMASIDA surveys(2020)
Authors: Adelino JUGA, Niel HENS, Nafissa Osman, Marc AERTS, Zixin Wang
Number of pages: 11 - Spatial Distribution of HIV Prevalence among Young People in Mozambique(2020)
Authors: Rachid MULEIA, Makini Boothe, Osvaldo LOQUIHA, Marc AERTS, Christel FAES
Number of pages: 20 - Quantitative Microbial Risk Assessment Based on Whole Genome Sequencing Data: Case of Listeria monocytogenes(2020)
Authors: Patrick Murigu Kamau Njage, Pimlapas Leekitcharoenphon, Lisbeth Truelstrup Hansen, Rene S. Hendriksen, Christel FAES, Marc AERTS, Tine Hald
- Unbiasedness and efficiency of non-parametric and UMVUE estimators of the probabilistic index and related statistics(2020)
Authors: Johan VERBEECK, Vaiva Deltuvaite-Thomas, Ben BERCKMOES, Tomasz BURZYKOWSKI, Marc AERTS, Olivier THAS, Marc BUYSE, Geert MOLENBERGHS
Pages: 747 - 768 - An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data(2020)
Authors: Marc AERTS, Matthew W. Wheeler, Jose Cortinas Abrahantes