summarize_individuals_count_table

pharmpy.tools.summarize_individuals_count_table(models=None, models_res=None, df=None)

Create a count table for individual data

Content of the various columns:

Column	Description
inf_selection	Number of subjects influential on model selection. \(\mathrm{OFV}_{parent} - \mathrm{OFV} > 3.84 \veebar\) \(\mathrm{OFV}_{parent} - \mathrm{iOFV}_{parent} - (\mathrm{OFV} - \mathrm{iOFV}) > 3.84\)
inf_params	Number of subjects influential on parameters. predicted_dofv > 3.84
out_obs	Number of subjects having at least one outlying observation (CWRES > 5)
out_ind	Number of outlying subjects. predicted_residual > 3.0
inf_outlier	Number of subjects both influential by any criteria and outlier by any criteria

Parameters:

• models (list of models) – List of models to summarize.

• models_res (List[ModelfitResults]) – Input results

• df (pd.DataFrame) – Output from a previous call to summarize_individuals.

Returns:

pd.DataFrame – Table with one row per model.

See also

summarize_individuals

Get raw individual data