• Noncompartmental Analysis (non-compartmental model):
The simplest and most objective method, providing parameters (t1/2,Vd, CL, Cmax, Tmax, MRT, AUC0-t. AUC0-∞, etc.) that meet the IND declaration requirements. However, it cannot be used for prediction and simulation, and is based on linear PK assumptions;
• Traditional Compartmental PK Model:
Relatively simple and easy to use, capable of fitting non-linear PK data. It can be used for prediction and simulation, aiding in experimental design;
• Population PK Model:
More suitable for sparse data and covariate analysis (NONMEM/Monolix).
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