Re: Simulate with parameter uncertainty
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
Quoted reply history
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
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