In 2019 alone, PMXSolutions.com has been visited by over 15.000 visitors! In order to celebrate this overwhelming interest in the website, I have made the Shiny application for pharmacokinetic simulations open source on GitHub!
Visit the GitHub repository
Collaborate on code
GitHub is a great platform to share and collaborate on coding projects. Feel free to use and improve the code for you own use. If you find any bugs or would like to see some new functionality, create an issue in the repo so it can be fixed at a later stage. If you have already updated the code in your own repository, feel free to create a pull request.
Most visited pages in 2019:
As a data scientist, lets have a look at the most visited pages of 2019:
|A step-by-step guide to prediction corrected visual predictive checks (VPC) of NONMEM models||/2018/09/21/a-step-by-step-guide-to-prediction-corrected-visual-predictive-checks-vpc-of-nonmem-models/||1,807|
|Getting your NONMEM dataset to work – DATA ERROR summary||/2018/09/27/getting-your-nonmem-dataset-to-work-data-error-summary/||1,623|
|Simulating your pharmacometric model with parameter uncertainty in R||/2019/01/31/how-to-simulate-your-pharmacometric-model-with-parameter-uncertainty/||1,118|
|Creating a simple pharmacometric Shiny application with mrgsolve in R – Part 1||/2018/12/10/creating-a-simple-pharmacometric-shiny-application-with-mrgsolve-in-r-part-1/||1,048|
|A step-by-step guide to scatter visual predictive checks (VPC) of NONMEM models||/2018/06/01/a-step-by-step-guide-to-scatter-visual-predictive-checks-vpc-of-nonmem-models/||1,014|
Don’t be worried if you can’t figure out the pcVPC or get your NONMEM dataset to work… You are not the only one.