Typical models

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

Typical PK models

Different routes of administrations

• Single route of administration

• Multiple administration routes

• Multiple doses and steady state

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

Urine data

• Models for urine data

Models for non-continuous data

• Time-to-event data models  

• Count data models

  • Count models with offset

• Categorical data models

• Joint models for non-continuous outcomes

Typical extensions of structural models

• Joint model for continuous outcomes

• Mixture of structural models

• Using regressors

• Time varying parameters

  • Time-varying clearance

  • Auto-induction model

  • Enterohepatic circulation model

• Using a scale factor

• Delayed differential equations

• Additional model outputs

  • Outputs and tables

  • 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