This flexible PK/PD training course gives an overview of the statistics you’ll need to bear in mind for your next PK/PD study. It explores the basics of PK and PD, through to a range of analysis methods, including NCA, Compartmental Analysis and Population PK. Finally, the course will give an introduction into implementing a PK/PD analysis using the NONMEM software package.
The course will provide a solid background knowledge of the statistical methodology used sufficient to understand and resolve issues that can cause problems with real world data analysis.
Module 1: Pharmacokinetics and Pharmamcodynamics
Our PK/PD Training course begins by giving an overview of, well, PK/PD! We examine the definitions of Pharmacokinetics (PK) and Pharmacodynamics (PD) and the relationships between them: the field of Pharmacology. We introduce the idea of a concentration-time curve, as well as some of the nuances of measuring PK/PD data.
Module 2: Non-Compartmental Analysis (NCA)
Our second module examines the mathematics behind the Non-Compartmental Analyis, or NCA. This is the simplest form of PK analysis, but can still provide useful results. We demonstrate how simple geometric techniques can be used to access PK parameters from raw data, while also detailing the advantages and disadvantages of this methodology.
Module 3: Compartmental Analysis
This module examines the concepts behind a compartmental PK model, with particular focus on mathematical modelling of the flow of a drug through the body. We take a look at one and two-compartment models, their resulting concentration-time curves, and how important PK parameters are estimated using those models.
Module 4: Population PK
We then move on to examine the details of Population PK modelling, including how it differs from individual PK as well as its advantages and disadvantages. We will look in particular at how covariate factors are taken into account by this technique.
Module 5: Implementing PK/PD Statistics
Our course concludes with a look at how PK/PD statistics is carried out in practice using the software package NONMEM. Our team outline some of the tips and tricks we use to ensure our analyses proceed as efficiently and effectively as possible.
