Simulx is a function of the R package mlxR. Simulx allows one to simulate complex models for longitudinal data by interfacing the C++ MlxLibrary with R. http://simulx.webpopix.org/ Learn how to use... Read more
It is the aim of all developments within WP6 to provide new tools to facilitate Model-Based Drug Development (MBDD) in the pharmaceutical industry. Indeed, demands for MBDD go beyond the facilitation of interactions between existing software tools.
The demands include:
Each of the four tasks within WP6 addresses one of these four demands. The specific challenges of WP6 are:
Simulx is a function of the R package mlxR. Simulx allows one to simulate complex models for longitudinal data by interfacing the C++ MlxLibrary with R. http://simulx.webpopix.org/ Learn how to use... Read more
Simulx is a function of the R package mlxR. Simulx allows one to simulate complex models for longitudinal data by interfacing the C++ MlxLibrary with R. http://simulx.webpopix.org/ Learn how to use... Read more
Simulx is a function of the R package mlxR. Simulx allows one to simulate complex models for longitudinal data by interfacing the C++ MlxLibrary with R. http://simulx.webpopix.org/ Learn how to use... Read more
September 15 - 17, London, UK, 2014 Effective Applications of the R Language, EARL conference 2014. EARL 2014 is a conference for users and developers of the open source R programming language. The... Read more
Use of a linearization approximation facilitating stochastic model building. E.M. Svensson , M.O. Karlsson. Journal of Pharmacokinetcs and Pharmacodynamics 2014, 41: 153 Abstract The objective of... Read more
September 11, Basel, Germany 10th Basel M&S Seminar, Optimal design strategies in drug development Dose selection for late clinical stage is one of the key challenges in drug development. This is... Read more
A note on BIC in mixed-effects models Maud Delattre, Marc Lavielle and Marie-Anne Poursat Abstract The Bayesian Information Criterion (BIC) is widely used for variable selection in mixed effects... Read more
Simulx is an R function for easily computing predictions and simulating data from both Mlxtran and PharmML models. Simulx is based on MlxCompute, the model simulation engine developed by Lixoft.... Read more
Comparison of Methods for Handling Missing Covariate Data. Johansson AM, Karlsson MO. AAPSJ AbstractMissing covariate data is a common problem in nonlinear mixed effects modelling of clinical data.... Read more
Multiple Imputation of Missing Covariates in NONMEM and Evaluation of the Method's Sensitivity to η-Shrinkage. Johansson AM, Karlsson MO. AAPSJ AbstractMultiple imputation (MI) is an approach widely... Read more