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Marc Aerts
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2010 – 2019
- 2018
- [j6]Lisa Hermans, Vahid Nassiri, Geert Molenberghs
, Michael G. Kenward, Simon Vander Elst, Marc Aerts, Geert Verbeke
Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes. Commun. Stat. Simul. Comput. 47(5): 1492-1505 (2018) - 2014
- [j5]Stijn Jaspers, Marc Aerts, Geert Verbeke
A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance. Comput. Stat. Data Anal. 71: 30-42 (2014) - 2012
- [j4]An Creemers, Marc Aerts, Niel Hens
A nonparametric approach to weighted estimating equations for regression analysis with missing covariates. Comput. Stat. Data Anal. 56(1): 100-113 (2012)
2000 – 2009
- 2007
- [c2]Elke Moons, Geert Wets, Marc Aerts:
Nonlinear Models for Determining Mode Choice. EPIA Workshops 2007: 183-194 - 2006
- [j3]Ivy Jansen, Niel Hens
The nature of sensitivity in monotone missing not at random models. Comput. Stat. Data Anal. 50(3): 830-858 (2006) - [j2]Christel Faes
A hierarchical modeling approach for risk assessment in developmental toxicity studies. Comput. Stat. Data Anal. 51(3): 1848-1861 (2006) - 2005
- [j1]Niel Hens
Kernel weighted influence measures. Comput. Stat. Data Anal. 48(3): 467-487 (2005)
1990 – 1999
- 1998
- [c1]Geert Molenberghs, Helena Geys, Lieven Declerck, Gerda Claeskens, Marc Aerts:
Analysis of Clustered Multivariate Data from Developmental Toxicity Studies. COMPSTAT 1998: 3-14
Coauthor Index
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