AW: [NMusers] Meta-analysis with Nonmem

Dear Guangli,
You can use normal distribution as an assumption and simulate N individua=
ls with one observation per individual based on the given N, mean and SD.=
 Then, the values calculated based on simulated data should be similar to=
 the used literature data. The combined dataset based on different studie=
s (with N, mean, SD) should reflect the "real" situation.
You can use this dataset to develop a base PK/PD model
However, any covariate relationship will not be considered

I full agree with Nick to use the parameter itself instead of CFB. If you=
 have different studies, some with CFB, some with Baseline and the parame=
ter itself, a solution might be to use CFB and consider baseline as a cov=
ariate.

Best regards
Dirk

Dirk Garmann, PhD
Clinical Scientific Expert /Pharmacokineticist
Merz Pharmaceuticals
Eckenheimer Landstrasse 100
60318 Frankfurt
Phone +49 (69) 1503 720



________________________________
Von: Guangli Ma [mailto:guangli.pmx_at_googlemail.com]
Gesendet: Thursday, March 04, 2010 3:18 AM
An: Garmann, Dirk
Cc: nmusers_at_globomaxnm.com"
Betreff: Re: [NMusers] Meta-analysis with Nonmem

Dear Dirk,

    I haven't fully understood your idea. Mean value, SD, and N can be co=
llected from literature. But if we don't have a model, how can we simulat=
e one individual with many observations?
    I met a problem and haven't got a solution. I chose change from basel=
ine as endpoint. But some literatures didn't provide CFB. The CFB and SD =
of CFB calculated from mean value and SD are different from the values ca=
lculated from individual data. Your suggestion will be highly appreciated=
. Thanks.

Best regards,
Guangli



Merz Pharmaceuticals GmbH, Frankfurt am Main
Amtsgericht Frankfurt am Main, HRB 53808
Geschäftsführung: Dr. Martin Zügel (Vors.), Dr. Alexander Gebauer,
Dr. Karsten Schlemm, Dr. Eugen Wilbert



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Received on Thu Mar 04 2010 - 06:13:43 EST