[mailto:owner-nmus...@globomaxnm.com] On
Behalf Of Nick Holford
Sent: Monday, March 28, 2011 9:35 AM
To: Andrew Hooker
Cc: 'nmusers'
Subject: Re: [NMusers] Time-to-event analysis with $DES
Andy,
Thanks for this response. In fact I did not propose that particular Weibull
parameterization
54
*To:* nmusers
*Subject:* Re: [NMusers] Time-to-event analysis with $DES
Hyewon,
Sorry -- I just realized that EFF is not the drug effect but 1-drug
effect so that it has a value of 1 when AUC is zero. Please ignore my
remarks about EFF being zero when AUC is zero in my comments below and
consi
ttp://www.farmbio.uu.se/research/Research+groups/Pharmacometrics/>
www.farmbio.uu.se/research/Research+groups/Pharmacometrics/
From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On
Behalf Of Nick Holford
Sent: den 24 mars 2011 07:54
To: nmusers
Subject: Re: [NMusers] Time-to
Dear all,
Thank you for your thoughtful advice.
It helps a lot.
Hyewon.
On Thu, Mar 24, 2011 at 1:53 AM, Nick Holford wrote:
> Hyewon,
>
> Sorry -- I just realized that EFF is not the drug effect but 1-drug effect
> so that it has a value of 1 when AUC is zero. Please ignore my remarks about
>
Hyewon,
Sorry -- I just realized that EFF is not the drug effect but 1-drug
effect so that it has a value of 1 when AUC is zero. Please ignore my
remarks about EFF being zero when AUC is zero in my comments below and
consider this code to describe the effect of AUC on hazard:
HAZNOW=LAMD*AL
Hyewon,
The most obvious problem with your code is in $DES. You must use the
variable T not the variable TIME when referring to a time varying
hazard. TIME is the time on each data record. It does not change in
$DES. T is the time from the last data record upto the current data
record and cha
Hi Hyewon
My 2 cents of advice:
1. Note that you need to estimate the baseline hazard. You can then add
AUC as a covariate on the baseline hazard, or perhaps the Weibull shape
factor.
2. Because of my limited experience, I am not sure of the type of
survival distribution you are trying to model, bu
Dear NMuser
I am trying to analyze time to repeated event data using NONMEM.
The response were obtained till 24 hours after drug administration.
Inhibitory Emax model was implemented.
I am getting unreasonable parameter estimates which is far beyond what data
say.
If some body can point out what i
