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DEFINITION: Defining random variables

The DEFINITION: block is used to define models for random variables which represent observations.

The observations can be:

  • Continuous observations with a residual error.

  • Non-continuous observations: count, categorical or time-to-event.

In Monolix, only non-continuous observation models are defined in the structural model file, while the continuous error models are defined in the interface and saved automatically in the Monolix project.

The following pages detail how to model the different types of random observations:

Continuous observation model
Time-to-event observation model
Count observation model
Categorical observation model

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