Dear Marie, There are basically two options:
1. Develop a sequential PK/PD model. First you develop a PK model and you read out the individual predictions for concentrations (IPREDs). Then, using the $PRED subroutine in NONMEM in a new run you can fit an EMAX equation to your PD as dependent value and the IPREDs as independent value. 2. Alternatively, you can develop a simultaneous PK/PD model. You then observe the PK and PD in the same compartment using two separate lines in your dataset, with a column with a flag whether an observation is a PK or PD observation. In the $ERROR block of your model you use two different equations for your residual error where you let your PD error function depend on the individual prediction for concentration in the central compartment. A hybrid method would be first to develop a PK model, fix the THETA/OMEGA/SIGMA for PK and add the PD model to this PK model, using the error block to describe the relationship. Sincerely, Rob Van: owner-nmus...@globomaxnm.com <owner-nmus...@globomaxnm.com> namens Marie Rajerison <marie.rajeri...@corteriapharma.com> Datum: woensdag, 9 oktober 2024 om 14:31 Aan: nmusers@globomaxnm.com <nmusers@globomaxnm.com> Onderwerp: [NMusers] Emax model Dear NM users, Hope my message finds you well, Can anyone share NM control streams for a direct Emax PK/PD model? Thank you in advance for your help Marie Marie RAJERISON PharmD PhD Pharmacometrician e-mail: marie.rajeri...@corteriapharma.com<mailto:marie.rajeri...@corteriapharma.com> 128 rue de la Boetie 75008 Paris France [cid:image001.jpg@01DB1A56.52A8B7A0] De informatie in dit bericht is uitsluitend bestemd voor de geadresseerde. Aan dit bericht en de bijlagen kunnen geen rechten worden ontleend. Heeft u deze e-mail onbedoeld ontvangen? Dan verzoeken wij u het te vernietigen en de afzender te informeren. Openbaar maken, kopi?ren en verspreiden van deze e-mail of informatie uit deze e-mail is alleen toegestaan met voorafgaande schriftelijke toestemming van de afzender. Het Radboudumc staat geregistreerd bij de Kamer van Koophandel in het handelsregister onder nummer 80262783. The content of this message is intended solely for the addressee. No rights can be derived from this message or its attachments. If you are not the intended recipient, we kindly request you to delete the message and inform the sender. It is strictly prohibited to disclose, copy or distribute this email or the information inside it, without a written consent from the sender. Radboud university medical center is registered with the Dutch Chamber of Commerce trade register with number 80262783.
