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Re: [NMusers] Lognormal survival in NONMEM?

From: Jakob Ribbing <jakob.ribbing_at_pharmetheus.com>
Date: Thu, 29 Aug 2019 16:17:51 +0200

Dear Rik,

There are very nice code examples (for NONMEM) in this poster-material =
from Nyberg et al.:
=
https://www.page-meeting.org/pdf_assets/404-Poster_PAGE%20_2014_tte_sim_jo=
akim_nyberg_with_code.pdf =
<https://www.page-meeting.org/pdf_assets/404-Poster_PAGE%20_2014_tte_sim_j=
oakim_nyberg_with_code.pdf>

These include the log-normal distribution, as well as Gompertz and =
Weibull.

Best regards

Jakob



Jakob Ribbing, Ph.D.

Senior Consultant, Pharmetheus AB



Cell/Mobile: +46 (0)70 514 33 77

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> On 29 Aug 2019, at 15:33, Rik Schoemaker <rik.schoemaker_at_occams.com> =
wrote:
>
> Dear all,
>
> Playing with repeated time to event models, I run into the issue that =
simple diagnostics for a single time to event outcome suggest that =
constant hazard and Weibull models are not very appropriate. The =
lognormal model seems to provide a very nice fit; compared to a constant =
hazard, the hazard is suggested to be higher in the beginning and then =
significantly lower at later times.
>
> I have not seen any implementations online: does anyone know if the =
lognormal survival function can be implemented in NONMEM, and/or can =
anyone suggest alternative approaches? Some time-varying function to =
modify the hazard?
>
> Any and all suggestions appreciated!
>
> Kind regards,
>
> Rik
>
>
>
> Rik Schoemaker, PhD
> Occams Coöperatie U.A.
> Malandolaan 10
> 1187 HE Amstelveen
> The Netherlands
> www.occams.com <http://www.occams.com/>
> +31 20 441 6410
> rik.schoemaker_at_occams.com <mailto:rik.schoemaker_at_occams.com>
>
> <image001.png>



Received on Thu Aug 29 2019 - 10:17:51 EDT

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