1.8 : 인구 약동학 자료 분석

Traditional pharmacokinetic methods involve taking multiple samples from a few individuals and estimating pharmacokinetic parameters.

Despite their common use, these methods fail to capture drug response variability among individuals or heterogeneous populations due to limited samples.

So, population pharmacokinetics is used, which estimates mean pharmacokinetic parameters or drug behavior within diverse populations to identify covariates influencing drug disposition.

These population pharmacokinetic models can help simulate drug concentration-time profiles for different dosing regimens and patient populations.

For instance, nonlinear mixed-effect models are commonly used in population pharmacokinetic data analysis to account for inter-individual variability and residual error.

This is helpful for dose individualization, drug therapy optimization, and prediction of drug-drug interactions.

In conclusion, population pharmacokinetic data analysis supports evidence-based drug development and clinical practice decision-making.