MILANZI, Elasma

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Full Name
MILANZI, Elasma
Email
elasma.milanzi@uhasselt.be
 
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Publications

Results 1-11 of 11 (Search time: 0.008 seconds).

Issue DateTitleContributor(s)TypeCat.
12016Properties of Estimators in Exponential Family Settings with Observation-based Stopping RulesMILANZI, Elasma; MOLENBERGHS, Geert; ALONSO ABAD, Ariel; VERBEKE, Geert; Kenward, Michael G.; Tsiatis, Anastasios A.; Davidian, MarieJournal ContributionA2
22015Data Representativeness: Issues and SolutionsMILANZI, Elasma; NJAGI, Edmund; BRUCKERS, Liesbeth; MOLENBERGHS, GeertJournal ContributionA2
32015Estimation after a group sequential trialMILANZI, Elasma; MOLENBERGHS, Geert; ALONSO ABAD, Ariel; Kenward, M.G.; Tsiatis, A.A.; Davidian, M.; VERBEKE, GeertJournal ContributionA1
42015Reliability Measures In Item Response Theory: Manifest Versus Latent Correlation FunctionsMILANZI, Elasma; MOLENBERGHS, Geert; ALONSO ABAD, Ariel; VERBEKE, Geert; De Boeck, PaulJournal ContributionA1
52015Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery process.MILANZI, Elasma; ALONSO ABAD, Ariel; MOLENBERGHS, Geert; Buyck, Christophe; BIJNENS, LucJournal ContributionA1
62015A new modeling approach for quantifying expert opinion in the drug discovery processMILANZI, Elasma; ALONSO ABAD, Ariel; MOLENBERGHS, Geert; Buyck, Christophe; BIJNENS, LucJournal ContributionA1
72014Estimation After a Group Sequential TrialMILANZI, Elasma; MOLENBERGHS, Geert; ALONSO ABAD, Ariel; Kenward, Michael G; Tsiatis, Anastasios A; Davidian, Marie; VERBEKE, GeertWorking PaperR2
82014Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery processALONSO ABAD, Ariel; MILANZI, Elasma; MOLENBERGHS, Geert; Buyck, Christophe; BIJNENS, LucWorking PaperR2
92014A permutational-splitting sample procedure to quantify expert opinion on clusters of chemical compounds using high-dimensional dataMILANZI, Elasma; ALONSO ABAD, Ariel; Buyck, Christophe; MOLENBERGHS, Geert; BIJNENS, LucJournal ContributionA1
102013Flexible Modeling For Hierarchical Data, Data With Random Sample Sizes and Selection Bias, with Applications in Pharmaceutical ResearchMILANZI, ElasmaTheses and DissertationsT1
112012Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutionsMILANZI, Elasma; ALONSO ABAD, Ariel; MOLENBERGHS, GeertJournal ContributionA1