Jim Hughes's repositories
pfe_shiny_intro
Course materials for "Introduction to Shiny" internal course given in November 2020
azithro_pk
Web application, raw code and digitised data for published manuscript: Hughes, J.H., Sweeney, K., Ahadieh, S. and Ouellet, D. (2020), Predictions of Systemic, Intracellular, and Lung Concentrations of Azithromycin with Different Dosing Regimens used in COVID‐19 Clinical Trials. CPT Pharmacometrics Syst. Pharmacol. Application can be found at:
otter_code
R code for manuscript: Hughes JH, Upton RN, Reuter SE, Phelps MA, Foster DJR. Optimising time samples for determining AUC of pharmacokinetic data using non-compartmental analysis. - Web App can be found at:
acidbase_fit
Estimation of rate constant parameters for the acid/base attack of aspirin. Post-graduate work for Dr. Desmond Williams at University of South Australia.
empir_bayes
Empirical MAP Bayes examples and applications. Post-graduate work for Dr. Stephanie Reuter-Lange at University of South Australia.
shiny-paganz
R code of Shiny workshop presented at PAGANZ 2017 in Adelaide.
shinyapps
Public apps and examples
carbo_app
Dosing application for manuscript: Harris, B.D.W., Phan, V., Perera, V. et al. Inability of Current Dosing to Achieve Carboplatin Therapeutic Targets in People with Advanced Non-Small Cell Lung Cancer: Impact of Systemic Inflammation on Carboplatin Exposure and Clinical Outcomes. Clin Pharmacokinet (2020). https://doi.org/10.1007/s40262-020-00870-6 - Web App can be found at:
optinterval
Raw R code for manuscript: Hughes JH, Upton RN, Reuter SE, Phelps MA, Foster DJR. Optimising time samples for determining AUC of pharmacokinetic data using non-compartmental analysis.