Re: Modeling for non-Normal distributions of individual parameters
Hi Bob,
Thanks for the instructions, it is very helpful. From the practical standpoint, using gamma as you described is somewhat complicated while using square-normal is trivial. Would it be a fair summary to say that:
-if the results of log-normal and square are similar (or if log-normal is better), we can stay with log-normal;
-if square-normal is much better then log-normal, then we should use square;
-gamma version provides only minor or no improvement versus square-normal and only when variances are large.
Thank you
Leonid
Quoted reply history
On 1/3/2023 11:49 AM, Bauer, Robert wrote:
> Dear nmusers:
>
> I am providing instructions and examples of how to model individual parameters with gamma distribution among the population in NONMEM. A general method for modeling other distributions is also given. This material is located at (start with the instruction file gamma_indpar.pdf):
>
> https://nonmem.iconplc.com/nonmem/gamma_indpar < https://nonmem.iconplc.com/nonmem/gamma_indpar >
>
> Robert J. Bauer, Ph.D.
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