RE : [NMusers] COMPUTING COVARIANCE OF PREDICTION ERRORS IN NONMEM

Hi Niyi,

You may also try new metrics like the npde described at :
(http://www.page-meeting.org/?abstract=1120)

"Normalised prediction distribution errors in R: the npde library "
Emmanuelle Comets , Karl Brendel and France Mentré

The library is downloadable over the internet.

Bests,

Samer



-------- Message d'origine--------
De: owner-nmusers_at_globomaxnm.com de la part de NIYI ADEDOKUN
Date: lun. 09/07/2007 18:10
À: nmusers_at_globomaxnm.com
Objet : [NMusers] COMPUTING COVARIANCE OF PREDICTION ERRORS IN NONMEM
 
Dear NMUsers,
Sometimes, it is desirable to compute an estimate of the covariance of =
2 prediction errors in the same individual in order to estimate the =
variance of the sum of prediction errors in that individual.


This estimate has been suggested by Vozeh et al. (1990) to be in the =
form:


ole0.bmp =
<http://by114fd.bay114.hotmail.msn.com/cgi-bin/getmsg?&msg=A0E3E567-504=
5-49A7-A890-C036EA33107C&start=0&len=139777&curmbox=00000000-0000-0=
000-0000-000000000001&a=11899ac4de63cb63ade73ddc25f986007f0c52e500b22c8=
0fb4327221aad9394&mimepart=5>

where where covN(PEi,PEi') is the covariance of the prediction errors i =
and i' while E is the expectation of the enclosed expression; g and h =
are partial derivatives of the vector of PK parameters with respect to =
the ç and å respectively, m is the number of etas in the model etc.)


My question is: how can this be coded/outputted from a NONMEM run.

Thanks for your help.
Jo


Received on Mon Jul 09 2007 - 21:11:32 EDT