PKNCA Training Sessions4 months ago
Introduction to PKNCA and Basics of Its Use | Introduction to PKNCA | Enjoy! | Some NCA Definitions | Dataset Basics | NCA Data are Not Tidy as a Single Dataset | Dataset Basics: Minimum data | Dataset Basics: What columns are needed? | Dataset Basics: Example data | Dataset Basics: Example concentration data | Dataset Basics: Example dosing data | Dataset Basics: Example interval data | Hands-on: First NCA calculation with PKNCA | PKNCA Functions | What functions are the most used? | How do I do a simple calculation? all steps | How do I do a simple calculation? Concentration data | How do I do a simple calculation? Dose data | How do I do a simple calculation? Calculate results | How do I do a simple calculation? Get results | How do I do a simple calculation? Get summary results | How do I do a simple calculation? Get individual results | PKNCA datasets | How does PKNCA think about data? | What is an "interval" and how is it different than a "group"? | Common data management requirements before sending data to PKNCA | Setup your concentration data | Setup your dosing data (if you have it and even if you don't) | Define your intervals | Define your intervals: example | Calculations above the hood | Prepare your data for calculation | Calculate without dosing data | Calculate without dosing data, try 2 | Dosing data helps with interval setup | AUC considerations with PKNCA (1/3) | AUC considerations with PKNCA (2/3) | AUC considerations with PKNCA (3/3) | Hands-on workshop | Steady-state intramuscular administration | Day 2 Start | Control your data | Including and excluding data points | Exclude data points overall | Exclude data points overall | Digression: How is λz automatically calculated? | λz control (manual exclusions and inclusions of data points) | Less-common calculations | Urine calculations | Urine calculations: understanding what is happening and potential hiccups | Calculations below the hood | PKNCA only calculates what is required, not every possible parameter (1 of 2) | PKNCA only calculates what is required, not every possible parameter (2 of 2) | How to select the correct parameters for calculations (aka, why are there r sum(grepl(x=names(PKNCA.options("single.dose.aucs")), pattern="^auc")) types of AUC in PKNCA?) | When are intervals (partly) ignored? | Control your results | Excluding results (Not the best way) | Excluding results (The best way, 1/2) | Excluding results (The best way, 2/2) | NCA-related calculations | Superposition | Time-to-Steady-state calculations | Reporting | Graphics are intentionally not part of PKNCA, but there are some tricks that can help... | Best practices for Data -> PKNCA -> knitr | Units (especially clearance) | Data imputation | IV bolus AUC (need to add C0) | Combined, multi-subject data (e.g. sparse animal sampling) | Limitations | Secondary parameters (e.g. bioavailability and renal clearance) | Validation of PKNCA | Hands-on | Single- and Multiple-dose, single analyte: Setup the underlying datasets | Single- and Multiple-dose, single analyte: Setup the concentration and dose datasets | Single- and Multiple-dose, single analyte: Perform basic analysis | Single- and Multiple-dose, single analyte: Use intervals for fewer subjects | Single- and Multiple-dose, single analyte: Use custom intervals per subjects | Single- and Multiple-dose, parent and metabolite
PKNCA 0.12.1.9000William Denneyv30-training-session.Rmd
