Re: Simulate with parameter uncertainty
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
Quoted reply history
> 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
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