title: Model averaging inconcentration-QT analyses.
abstract: This article describes how a frequentist model averaging approach can be used for concentration-QT analyses in the context of thorough QTc studies. Based on simulations, we have concluded that starting from three candidate model families (linear, exponential, and Emax) the model averaging approach leads to treatment effect estimates that are quite robust with respect to the control of the type I error in nearly all simulated scenarios; in particular, with the model averaging approach, the type I error appears less sensitive to model misspecification than the widely used linear model. We noticed also few differences in terms of performance between the model averaging approach and the more classical model selection approach, but we believe that, despite both can be recommended in practice, the model averaging approach can be more appealing because of some deficiencies of model selection approach pointed out in the literature. We think that a model averaging or model selection approach should be systematically considered for conducting concentration-QT analyses. Copyright © 2016 John Wiley & Sons, Ltd.
authors: Department of Biostatistics and Programming, SANOFI R&D, Chilly-Mazarin, France.
authors: Bernard
authors: B
authors: Sébastien
authors: Biometrics, Abbvie, North Chicago, IL, USA.
authors: David
authors: D
authors: Hoffman
authors: Department of Biostatistics and Programming, SANOFI R&D, Chilly-Mazarin, France.
authors: Clémence
authors: C
authors: Rigaux
authors: Department of Biostatistics and Programming, SANOFI R&D, Montpellier, France.
authors: Franck
authors: F
authors: Pellissier
authors: Department of Biostatistics and Programming, SANOFI R&D, Chilly-Mazarin, France.
authors: Jérôme
authors: J
authors: Msihid
mesh_terms: D003198:Computer Simulation; D004562:Electrocardiography; D006801:Humans; D016014:Linear Models; D008133:Long QT Syndrome / Q000139:chemically induced*; D015233:Models, Statistical; D012107:Research Design
keywords: concentration-QT analysis; model averaging; model selection; thorough QTc study