0000000000700801

AUTHOR

Thomas Hoffelder

0000-0002-7128-0578

showing 2 related works from this author

Equivalence Testing With Particle Size Distribution Data: Methods and Applications in the Development of Inhalative Drugs

2017

ABSTRACTKey criteria of the quality of inhalative drugs are assessed in experiments generating so-called particle size distributions as data. Many experiments of that kind are carried out to demonstrate that necessary modifications to whatever part of the manufacturing process do not substantially change basic characteristics of an inhalable drug product. The equivalence testing procedures we derive for that purpose rely on different models accommodating the specific structure of such data and on different ways of specifying the region of nonrelevant differences. For each hypotheses formulation, three different tests are derived (two parametric and one asymptotically distribution-free proce…

Statistics and ProbabilityMathematical optimizationEquivalence testingManufacturing processmedia_common.quotation_subjectStructure (category theory)Pharmaceutical Science030226 pharmacology & pharmacy01 natural sciencesDirichlet distribution010104 statistics & probability03 medical and health sciencessymbols.namesake0302 clinical medicineDevelopment (topology)EconometricssymbolsDrug productQuality (business)0101 mathematicsParametric statisticsmedia_commonMathematicsStatistics in Biopharmaceutical Research
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Multivariate equivalence tests for use in pharmaceutical development.

2014

Statistical equivalence analyses are well-established parts of many studies in the biomedical sciences. Also in pharmaceutical development and manufacturing equivalence testing methods are required in order to statistically establish similarities between machines, process components, or complete processes. This article presents a choice of multivariate equivalence testing procedures for normally distributed data as generalizations of existing univariate methods. In all derived methods, variability is interpreted as nuisance parameter. The use of the proposed methods in pharmaceutical development is demonstrated with a comparative analysis of dissolution profiles.

PharmacologyStatistics and ProbabilityMultivariate statisticsMahalanobis distanceEquivalence testingDrug Industrybusiness.industryUnivariateNormal DistributionMachine learningcomputer.software_genreDelta methodPharmaceutical PreparationsSolubilityResearch DesignData Interpretation StatisticalMultivariate AnalysisEconometricsNuisance parameterPharmacology (medical)Artificial intelligencebusinesscomputerEquivalence (measure theory)MathematicsJournal of biopharmaceutical statistics
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