Dear Mark, Another option to simulate with parameter uncertainty is to use the rawres output file from a bootstrap or SIR procedure you obtained with PsN. This can be done using the -rawres_input=… in combination with -no-estimate_simulation option for SSE. It will use the set of parameter values in the rawres file as input for simulation.
Sincerely, Rob > Op 17 dec. 2022 om 4:44 PM heeft Leonid Gibiansky <[email protected]> > het volgende geschreven: > > Is it is only CL (then you can just use SE and normal distribution) or you > need predictions and use whole parameter matrix (then you need to use > PRIORS): make sure to set TRUE=PRIOR on the simulation step). > Leonid > > Roughly (See guide for IVAR value): > > $PRIOR TNPRI (PROBLEM 2) IVAR=2 PLEV=0.999 > $MSFI ../.../FILE.MSF ONLYREAD > $SUBROUTINES > > $PK > ... > $ERROR > ... > > $PROBLEM XXX, simulations > $INPUT > $DATA .... REWIND IGNORE=C > > $THETA > ... > > $OMEGA > .. > > $SIGMA > ... > > $SIMULATION (1334) (5778 UNIFORM) ONLYSIMULATION PARAFILE=ON RANMETHOD=P > TRUE=PRIOR SUBPROBLEMS=3 > > $TAB FILE=...tab > > > >> On 12/17/2022 10:16 AM, Mark Sale wrote: >> Hi, >> I'm pretty sure this is possible, I think I even did it long ago, but I >> need to simulate a model with parameter uncertainty, i.e., sample mean and >> variance from prior distribution of typical value of CL, then sample >> individual Cls from that distribution of mean/variance. Can anyone help me >> with the code to do this? >> Thanks >> Mark >> Mark Sale M.D. >> Vice President >> Integrated Drug Development >> [email protected] >> Remote-Forestville CA >> Office Hours 9 AM - 5 PM Eastern Time >> +1 302-516-1684 >> https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.certara.com%2F&data=05%7C01%7CR.terHeine%40radboudumc.nl%7C3215da0387984eb0d9f808dae0459810%7Cb208fe69471e48c48d87025e9b9a157f%7C1%7C0%7C638068886765196762%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EDewq4VlY7vyp%2FiJP56rasJZFacCpwEpzM%2BXXVF4kiI%3D&reserved=0 >> This message (including any attachments) may contain confidential, >> proprietary, privileged and/or private information. The information is >> intended to be for the use of the individual or entity designated above. If >> you are not the intended recipient of this message, please notify the sender >> immediately, and delete the message and any attachments. Any disclosure, >> reproduction, distribution or other use of this message or any attachments >> by an individual or entity other than the intended recipient is prohibited. > 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, kopiëren 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.
