Population parameters

Definition of population parameters as simulation elements allows to simulate individual parameters from probability distributions. In the mlxtran model they are:

  • [INDIVIDUAL] block input parameters that are neither inputs nor outputs of the block [COVARIATE].
  • [LONGITUDINAL] block input parameters that are neither individual parameters nor regressors.

POP.PARAM section in the “Definition” tab is available only if the list of population parameters from the model is not empty.

Demo projects: 3.3. population parameters

New population parameters element

After loading a model, Simulx generates automatically a default population parameter element. It is a table with parameters names from the model and all entries equal to one. It helps to create a new element by just modifying the values. Clicking the button “plus” adds a new population parameter, which may be one of the three types.

  • Manual: It is a vector and has one value for each parameter.
  • Distribution: Parameters are a distribution law – normal, lognormal (default), logitnormal, uniform – with a typical value and a standard deviation.
  • External: It is a file with a table that has each population parameter in a separate column.

    The external file can have only one column header different from the population parameters names. It indicates replicates (eg. from bootstrap or simpopmlx). All individual parameters of the same replicate come from the same population distribution.

Population parameters imported from Monolix

Importing a Monolix project generates automatically a population parameter element with values from the Monolix result folder.

  • mlx_Pop contains population parameters estimated by Monolix if the POP.PARAM task results are available.
  • mlx_PopInit contains initial estimates of the population parameters if the mlx_pop does not exist.

Both of these elements are vectors and are common for all ids.

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