Ivelina Gueorguieva, Kimberley Jackson, Steven A. Wrighton, Vikram P Sinha and Jenny Y. Chien Desipramine Population Pharmacokinetic Model and Designing CYP2D6 Drug-Drug Interaction Studies
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Shuying Yang, Pauline Lukey and Misba Beerahee Bayesian Adaptive Designs for Phase IIb Dose-ranging Study in Rheumatoid Arthritis (RA)
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M. Scholz (1), N. Plock (1,2), C. Kloft (1) Optimal Design for the improvement of sampling schedules of microdialysis studies.
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Rocío Lledó-García, Stefanie Hennig, Joakim Nyberg, Andrew C. Hooker & Mats O. Karlsson Seeking ethically attractive dose-finding designs for narrow therapeutic index drugs
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Mike K Smith (1), Richard Pugh (2), Romain Francois (2) MSToolkit – An R library for simulating and evaluating clinical trial designs and scenarios
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Valerii V. Fedorov, Sergei L. Leonov Estimation of Population Pharmacokinetic Measures and Selection of Sampling Times
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Stefanie Hennig, Andrew C. Hooker, Joackim Nyberg Optimal design for models with semi-parametric distributions
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Ted Grasela, Julie Passarell, Elizabeth Ludwig, Jill Fiedler-Kelly Modeling and Simulation Approach to Pediatric Drug Development
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Patanjali Ravva (1), Jonathan French (1), Sarah Dubrava (2) and Hélène M Faessel (3) Enhanced Clinical Trial Design of a Proof-of-Concept Study via Bayesian simulation analyses
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Massimo Cella(1), Frank Kloprogge(1), Meindert Danhof(1) and Oscar Della Pasqua(1,2) Scaling of fixed-dose combinations in children
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Caroline Bazzoli , Sylvie Retout , France Mentré Prediction of power of test of discrete covariates in population analyses and influence of design: application to gender effect in joint pharmacokinetic models of nucleoside analogs and their active metabolites
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Massimo Cella (1), Frank L. Kloprogge(1), Meindert Danhof (1) and Oscar Della Pasqua (1,2) Comparative analysis of scaling methods for dose selection in paediatric indications
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Kayode Ogungbenro and Leon Aarons Sample Size/Power Calculations for Population Pharmacodynamic Experiments Involving Repeated Count Measurements
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Andrew C. Hooker, Joakim Nyberg, Richard Höglund, Martin Bergstrand and Mats O. Karlsson Autocorrelation reduces sample time clustering in optimal design
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