Typical models

The following pages show how to write typical models for continuous or non-continuous outcomes.

Typical PK models

Various absorption models

• Mixed first-order and zero-order absorption, or parallel first-order

• Saturation of the absorption rate

• Sigmoid absorption, transit compartments and Weibull absorption

Models for non-continuous data

• Time-to-event data models  

• Count data models

• Categorical data models

• Joint models for non-continuous outcomes

Typical extensions of structural models

• Time varying parameters

  • Time-varying clearance

  • Auto-induction model

  • Enterohepatic circulation model

• Additional model outputs

  • Computing additional model outputs such as Cmax or AUC

  • Calculating the half-life

Advanced models

• Lifespan models

• K-PD models

• Friberg model for myelosupression

• ADC model

• Beta regression models