Development and Application of an On-line Module for Teaching Bayesian Forecasting Principles in a Clinical Pharmacokinetics Course

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A web-based module is developed as a learning tool for pharmacokinetic parameter estimation based on non-linear regression analysis and Bayesian principles. After entering the data related to dosage regimen, plasma concentration-time course, and the population kinetics, the online program estimates the individualized pharmacokinetic parameters. The module was used when dealing with the concept of Bayesian analysis in a clinical pharmacokinetics course taught in a PharmD program. Students used the module outside the class to estimate kinetic parameters in simulated scenarios comprising different extents of variability in the plasma concentration and/or the population data. Additionally, the module was used during the class time by the instructor for simulation purposes. Performance data indicated that the use of the module by both students (outside the class) and the instructor (during the class) significantly improved learning of the concepts behind the Bayesian forecasting of the kinetic parameters. Further, students believed that the use of module was easy, improved their learning, and should be continued in the future.


This article was originally published in American Journal of Pharmaceutical Education, volume 64, issue 2, in 2000. DOI: aj640203.pdf


American Association of Colleges of Pharmacy