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Pharmacokinetic and pharmacodynamic modeling and simulation By Dr. Jan Freijer September 24, 2009 Amsterdam, The Netherlands http://www.can.nl/events/details.php?id=57 This course is aimed at users of R or S-PLUS in the bio-pharmaceutical sciences who would like to use R for clinical trial simulations....

...a toolkit for modeling and simulation in the field of pharmacometrics. It was designed as a user-friendly interface to create and modify model scripts, define system observations and inputs, and run simulation or estimation analysis. scaRabee provides templates for the definition of pharmacokinetic-pharmacodynamic models with closed form solutions, ordinary or delay differential equations. At the end of each analysis, scaRabee automatically generates diagnostic plots, report files with run estimate statistics, and a log file with the history of the optimization process (for estimation runs). Optimization i...

saemix implements the SAEM (stochastic approximation EM) algorithm for parameter estimation in non-linear mixed effect models, used to model longitudinal data. Longitudinal data are particularly prominent in pharmacokinetics (study of drug concentrations versus time) and pharmacodynamics (study of drug effect versus time), but the SAEM algorithm has also been successfully applied in many other areas and we would like to encourage you to try saemix. More details can be found in the user guide included in the package, which encloses a section showing different examples using...

...analysis. Examples in R and SAS will be presented and discussed. Mixed models are a powerful class of models used for the analysis of correlated data such as clustered data, repeated observations, longitudinal data, multiple dependent variables, spatial data or data from population pharmacokinetic/pharmacodynamic studies. A key feature of mixed models is that, by introducing random effects in addition to fixed effects, they allow you to address multiple sources of variation, e.g. in the longitudinal study they allow you to take into account both within- and between- subject variation. Prof. Galecki holds...

saemix implements the SAEM (stochastic approximation EM) algorithm for parameter estimation in non-linear mixed effect models, used to model longitudinal data. Longitudinal data are particularly prominent in pharmacokinetics (study of drug concentrations versus time) and pharmacodynamics (study of drug effect versus time), but the SAEM algorithm has also been successfully applied in many other areas and we would like to encourage you to try saemix. More details can be found in the user guide included in the package, which encloses a section showing different examples using...

...a toolkit for modeling and simulation in the field of pharmacometrics. It was designed as a user-friendly interface to create and modify model scripts, define system observations and inputs, and run simulation or estimation analysis. scaRabee provides templates for the definition of pharmacokinetic-pharmacodynamic models with closed form solutions, ordinary or delay differential equations. At the end of each analysis, scaRabee automatically generates diagnostic plots, report files with run estimate statistics, and a log file with the history of the optimization process (for estimation runs). Optimization i...

...ging discipline that uses mathematical and statistical tools to quantify drug, disease, and trial information to aid efficient drug development and/or regulatory decisions. It designs and applies mathematical models to describe the relationship between drug exposure (pharmacokinetics) and response (pharmacodynamics) for both desired and undesired effects, and aims to include in such models the effects of individual patient characteristics. Our pharmacometrics group has established PK/PD modelling expertise in the disease area of tuberculosis, HIV, and malaria. It is active internationally and enjoys on-go...

...portunity for a scientist in quantitative sciences to apply their expertise within the framework of biomedical research, and pharmacometrics is a highly-sought set of professional skills either in academia or in the pharmaceutical industry. Our division has established clinical and pharmacokinetic/pharmacodynamic expertise in the area of tuberculosis, HIV, and malaria. The pharmacometrics group within the division is active internationally and supported by on-going collaborations with some of the most renowned modelling groups worldwide. What you need: A PhD in engineering, physics, mathematics or (bio-)...

...nd coaching skills are essential Ambitious Creative Interested to perform research in a unique multidisciplinary setting Organisation The Leiden Division of Pharmacology at the Leiden/Amsterdam Center for Drug Research (LACDR) has a long-standing expertise in the development of Pharmacokinetic/Pharmacodynamic (PKPD) models to predict efficacy and safety of drugs. Conditions of employment The employment for this position will be full time for 2 or 4 years. Additional conditions of employment: You will work as a team member of a TI Pharma project. The project team comprises academic and industrial...

...Interested to perform research in a unique multidisciplinary setting Organisation ________________________________________ The Leiden Division of Pharmacology at the Leiden/Amsterdam Center for Drug Research (LACDR) has a long-standing expertise in the development of Pharmacokinetic/Pharmacodynamic (PKPD) models to predict efficacy and safety of drugs. Given the nature of the disease, understanding of statistical methodology (principal component analysis, multivariate analysis, longitudinal and hierarchical models) is required for the postdoc working on the COPD project. Knowledge of Bayesi...

...ative * Interested to perform research in a unique multidisciplinary setting Organisation ________________________________ The Leiden Division of Pharmacology at the Leiden/Amsterdam Center for Drug Research (LACDR) has a long-standing expertise in the development of Pharmacokinetic/Pharmacodynamic (PK-PD) models to predict efficacy and safety of drugs. Given the nature of this project, the main task of the principal post-doctoral fellow will be to coach the PhD students and postdocs within the platform, to support model building and simulation and to identify underlying general principles...

...oaching skills are essential * Ambitious * Creative * Interested to perform research in a unique multidisciplinary setting Organisation The Leiden Division of Pharmacology at the Leiden/Amsterdam Center for Drug Research (LACDR) has a long-standing expertise in the development of Pharmacokinetic/Pharmacodynamic (PKPD) models to predict efficacy and safety of drugs. Given the nature of this project, the main task of the principal post-doctoral fellow will be to coach the PhD students and postdocs within the platform, to support model building and simulation and to identify underlying general principles s...

Hi there, it might be a very simple question and I'd be glad to even get a link to some useful documentation... I have several data sets, I'd like to fit to a gaussian distribution. I've tried to give an estimate of the mean and the sd of this distribution but still, I run into problems if these estimates are not close enough. For example, nls() breaks with this message: singular

...or statistical analysis of ponit processes * scaRabee (1.0-2) Sebastien Bihorel http://crantastic.org/packages/scaRabee scaRabee is a port of the Scarabee toolkit originally written as a Matlab-based application. It provides a framework for simulation and optimization of pharmacokinetic-pharmacodynamic models in a naive average/pooling settings. It is built on top of the neldermead package, which provides the direct search algorithm proposed by Nelder and Mead for model optimization. * secr (1.4.0) Murray Efford http://crantastic.org/packages/secr Estimate animal population densit...