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Researcher
Elasma MILANZI
- Keywords:Mathematics
- Disciplines:Mathematical sciences
Affiliations
- Mathematics and statistics (Department)
Member
From1 Jan 2013 → 30 Sep 2015 - Applied Mathematics (Department)
Member
From1 Oct 2009 → 31 Dec 2012 - Centre for Statistics (Research group)
Member
From1 Oct 2009 → 30 Sep 2015 - Research Institute Center for Statistics (Research institute)
Member
From1 Oct 2009 → 30 Sep 2015 - Faculty of Sciences (Faculty)
Member
From1 Oct 2009 → 30 Sep 2015
Projects
1 - 1 of 1
- Preparatory support for the statistical evaluation of the comparative assessment of GM plant field trials and for the evaluation of toxicological studies for GM plant food/feed safety. Lot 1: Comparative statistical analysis.From2 Dec 2014 → 1 Dec 2018Funding: Other EU initiatives out of framework
Publications
1 - 8 of 8
- Data Representativeness: Issues and Solutions(2015)
Authors: Elasma MILANZI, Edmund NJAGI, Liesbeth BRUCKERS, Geert MOLENBERGHS
Pages: 1 - 159Number of pages: 159 - A new modeling approach for quantifying expert opinion in the drug discovery process(2015)
Authors: Elasma MILANZI, Ariel ALONSO ABAD, Geert MOLENBERGHS, Christophe Buyck, Luc BIJNENS
Pages: 1590 - 1604 - Estimation after a group sequential trial(2015)
Authors: Elasma MILANZI, Geert MOLENBERGHS, Ariel ALONSO ABAD, M.G. Kenward, A.A. Tsiatis, M. Davidian, Geert VERBEKE
Pages: 187 - 205Number of pages: 19 - Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery process.(2015)
Authors: Elasma MILANZI, Ariel ALONSO ABAD, Geert MOLENBERGHS, Christophe Buyck, Luc BIJNENS
Pages: 129 - 138 - Reliability Measures In Item Response Theory: Manifest Versus Latent Correlation Functions(2015)
Authors: Elasma MILANZI, Geert MOLENBERGHS, Ariel ALONSO ABAD, Geert VERBEKE, Paul De Boeck
Pages: 43 - 64 - A permutational-splitting sample procedure to quantify expert opinion on clusters of chemical compounds using high-dimensional data(2014)
Authors: Elasma MILANZI, Ariel ALONSO ABAD, Christophe Buyck, Geert MOLENBERGHS, Luc BIJNENS
Pages: 2319 - 2335 - Flexible Modeling For Hierarchical Data, Data With Random Sample Sizes and Selection Bias, with Applications in Pharmaceutical Research(2013)
Authors: Elasma MILANZI, Geert MOLENBERGHS
- Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutions(2012)
Authors: Elasma MILANZI, Ariel ALONSO ABAD, Geert MOLENBERGHS
Pages: 1475 - 1482Number of pages: 8