Targeted Course Material
Specifically designed to address pharmacometric projects
Attendees should have completed at least one project using R. At a minimum, they should be able to read in data, and perform basic data manipulations (eg summarize data, subset out a sub-group).
All attendees will be provided with in-depth slides, codes, practice problems, and solutions to hands on material. Two weeks prior to the workshop, all attendees will be provided with a 'starter pack' of pre-request material to make sure to have a suitable baseline
We have found that a combination of short modular examples to introduce topics and larger scale hands-on examples best balance quick comprehension as well as how to apply concepts to more advanced situations
Two weeks before the workshop, a list of basic resources will be provided to refresh attendee's foundation. Additional optional resources will be provided to help attendees help identify areas they may wish to as questions or discuss in more depth.
Dr. Vijay Ivaturi and Devin Pastoor are members of the Center for Translational Medicine at the University of Maryland School of Pharmacy
Dr. Ivaturi's research focuses on the development of methods and tools for quantitative clinical pharmacology. He obtained his doctorate in experimental and clinical pharmacology from the University of Minnesota, which he followed with a post-doctoral fellowship in pharmacometrics at Uppsala University in Sweden before joining the CTM
Devin has worked for the past 5 years interfacing insights gained from translational models with tools to speed up the modeling and data analysis process. He has authored over 5 R packages and continues to develop new tools to facilitate model-based drug development.
What used to take twenty lines of code I learned how to do in two - and it runs faster!
The examples were highly relevant and I was able to immediately apply what I've learned to my day-to-day work.
The topics were easily understable and extremely well presented. I feel so much more productive now!
We’d love to hear from you. What are you interested to learn?