Dear Benjamin and Leonid,

Although a steep sigmoidal Emax function often works well to approximate a
step function, the rate of change is quite dependent on the value  of the X
variable. Another function (below) has some advantages. For details, see
Henin et al., AAPS J. 2012 Jun;14(2):155-63. 
A mechanism-based approach for absorption modeling: the Gastro-Intestinal
Transit Time (GITT) model.

STEP = EXP(X*GAM)/(EXP(X*GAM)+EXP(X50*GAM))

Where X50 (inflection point) would be estimated and GAM (steepness)
typically fixed.

Best regards,
Mats
 
Mats Karlsson, PhD
Professor of Pharmacometrics

Dept of Pharmaceutical Biosciences
Faculty of Pharmacy
Uppsala University
Box 591
75124 Uppsala

Phone: +46 18 4714105
Fax + 46 18 4714003
www.farmbio.uu.se/research/researchgroups/pharmacometrics/


-----Original Message-----
From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On
Behalf Of Leonid Gibiansky
Sent: 19 September 2013 21:33
To: benjamin.we...@boehringer-ingelheim.com
Cc: nmusers@globomaxnm.com
Subject: Re: [NMusers] Parameter Estimation in IF Conditioning Statement

Hi Benjamin
I think the problem was that when nonmem tested small variations of
THETA(1) in the first version, nothing changed in the OF as these variation
have not resulted in the change in the IF conditions (e.g., if your data
contained WCMIN values 1 and 2 and nothing in between, and
THETA(1) was 1.5, changes of THETA(1) to 1.6 or 1.4 were not resulting in
the changes in OF, gradient was zero, and the gradient method was unable to
move the model. When you put theta(1) in the centering, this resulted in
changes of OF. This is not an unusual behavior. Therefore, it is better to
use continuous functions rather than switches. For example, you can code it
as

INT = THETA(4)+(THETA(5)-THETA(4))/(1+(THETA(1)/WCMIN)**GAM)

SLOPE = THETA(3)+INT*CONC+ETA(2)

When GAM is infinity, this is equivalent to your model. You may use large
GAM (or even estimated GAM)

Leonid



--------------------------------------
Leonid Gibiansky, Ph.D.
President, QuantPharm LLC
web:    www.quantpharm.com
e-mail: LGibiansky at quantpharm.com
tel:    (301) 767 5566



On 9/19/2013 2:31 PM, benjamin.we...@boehringer-ingelheim.com wrote:
> Dear NONMEM users,
>
> My goal was to add a drug effect to a disease progression model in a 
> way that the drug effect is different when a certain threshold 
> concentration is exceeded (similarly to modeling a ‘hockey-stick’ when 
> performing covariate analysis). First, I did it in the following way 
> (partial simplified code)
>
> $PRED
>
> THRESH = THETA(1) ;threshold concentration
>
> INT = THETA(2)+ ETA(1)
>
> IF(WCMIN.LE.THRESH) SLOPE = THETA(3)+THETA(4)*CONC+ETA(2)
>
> IF(WCMIN.GT.THRESH) SLOPE = THETA(3)+THETA(5)*CONC+ETA(2)
>
> IPRED=INT+SLOPE*TIME
>
> and NONMEM did not manage to estimate THRESH=THETA(1) (i.e., the 
> initial estimate did not change during minimization and the gradient 
> was zero throughout). I tried this for several different initial
estimates.
>
> I then centered the observed CONC on THRESH and run the following 
> model because colleagues mentioned that they have successfully run a 
> ‘hockey-stick’ estimating the threshold parameter  (partial simplified 
> code)
>
> IF(WCMIN.LE.THRESH) SLOPE = THETA(3)+THETA(4)*(CONC-THRESH)+ETA(2)
>
> IF(WCMIN.GT.THRESH) SLOPE = THETA(3)+THETA(5)*(CONC- THRESH)+ETA(2)
>
> This time, NONMEM provided very reasonable estimates for all model 
> parameters and the covariance step was successful.
>
> I wonder now if the centering of the variable (and hence something 
> particular to the data set) caused the difference in estimability of 
> the threshold parameter or whether NONMEN cannot estimate parameters 
> that only occur in the conditioning part of the IF statement (Note 
> that after centering THRESH also appears in another part of the code).
>
> Could somebody please provide some insight on this? I have searched in 
> the NONMEM user group but could not find anything.
>
> Mit freundlichen Grüßen / Kind regards, Dr. Benjamin Weber
>
> Boehringer Ingelheim Pharma GmbH & Co. KG Translational Medicine
> Tel.: +49 (7351) 54-143520
> Fax: +49 (7351) 83-143520
> mailto:benjamin.we...@boehringer-ingelheim.com
>
> Boehringer Ingelheim Pharma GmbH & Co. KG, Sitz: Ingelheim am Rhein; 
> Registergericht Mainz: HR A 22206; Komplementär Boehringer Ingelheim 
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> (Vorsitzender),  Ursula Fuggis-Hahn, Ralf Gorniak,  Michael Klein, Dr.
> Martin Wanning; Vorsitzender des Aufsichtsrates: Dr. Joachim 
> Hasenmaier;
> Sitz: Ingelheim am Rhein; Registergericht Mainz: HR B 23260
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