Multiple Dose Types

If you have multiple types of dose in your analysis, e.g. two different drugs being prescribed, then you need to give each dose type a name, as shown in table_popy_multi_doses.

The data file above creates 2 doses of drug1 and 1 dose of drug2. The script file loading this data set should have a DERIVATIVES section something like:-

DERIVATIVES: |
    dose[drug1] = @bolus{amt: c[AMT_DRUG1]}
    dose[drug2] = @bolus{amt: c[AMT_DRUG2]}
    d[DEPOT1] = dose[drug1] - m[KE1] * s[DEPOT1]
    d[DEPOT2] = dose[drug2] - m[KE2] * s[DEPOT2]

The important aspect here is that the @bolus doses are defined with names ‘drug1’ and ‘drug2’. These names also appear in the TYPE field in the data set as ‘dose:drug1’ and ‘dose:drug2’.

An alternative naming syntax is as follows:-

DERIVATIVES: |
    d[DEPOT1] = @bolus{amt: c[AMT_DRUG1], name: 'drug1'} - m[KE1] * s[DEPOT1]
    d[DEPOT2] = @bolus{amt: c[AMT_DRUG2], name: 'drug2'} - m[KE2] * s[DEPOT2]

Note that when creating a PoPy data set, you only need to specify a name for each type of dose. You can leave the modelling decision of where each dose appears in the compartment model to a later time.