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Bernard Sébastien

Showing results (1-10 of 5) with videos related to

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Journal of Pharmacokinetics and Pharmacodynamics|January 8, 2020
Evaluation of non-linear-mixed-effect modeling to reduce the sample sizes of pediatric trials in type 2 diabetes mellitusClémence Rigaux, Bernard Sébastien
Journal of Clinical Pharmacology|October 15, 2013
A drug and disease model for lixisenatide, a GLP-1 receptor agonist in type 2 diabetesJustin J Wilkins, Michel Dubar, Bernard Sébastien, et al.
Pharmaceutical Statistics|August 6, 2016
Model averaging inconcentration-QT analysesBernard Sébastien, David Hoffman, Clémence Rigaux, et al.
Biometrics|May 6, 2016
Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patientsSolène Desmée, France Mentré, Christine Veyrat-Follet, et al.
BMC Medical Research Methodology|July 19, 2017
Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancerSolène Desmée, France Mentré, Christine Veyrat-Follet, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Pharmacokinetics and Pharmacodynamics|January 8, 2020
Evaluation of non-linear-mixed-effect modeling to reduce the sample sizes of pediatric trials in type 2 diabetes mellitusClémence Rigaux, Bernard Sébastien
Journal of Clinical Pharmacology|October 15, 2013
A drug and disease model for lixisenatide, a GLP-1 receptor agonist in type 2 diabetesJustin J Wilkins, Michel Dubar, Bernard Sébastien, et al.
Pharmaceutical Statistics|August 6, 2016
Model averaging inconcentration-QT analysesBernard Sébastien, David Hoffman, Clémence Rigaux, et al.
Biometrics|May 6, 2016
Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patientsSolène Desmée, France Mentré, Christine Veyrat-Follet, et al.
BMC Medical Research Methodology|July 19, 2017
Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancerSolène Desmée, France Mentré, Christine Veyrat-Follet, et al.
Pageof 1