Dear Guangli, You can use normal distribution as an assumption and simulate N individuals 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 studies (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 parameter itself, a solution might be to use CFB and consider baseline as a covariate. 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:[email protected]] Gesendet: Thursday, March 04, 2010 3:18 AM An: Garmann, Dirk Cc: [email protected]" Betreff: Re: [NMusers] Meta-analysis with Nonmem Dear Dirk, I haven't fully understood your idea. Mean value, SD, and N can be collected from literature. But if we don't have a model, how can we simulate one individual with many observations? I met a problem and haven't got a solution. I chose change from baseline 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 calculated 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 Die vorgenannten Angaben der E-Mail haben grundsätzlich nur informativen Charakter. Dies ist kein Anerkenntnis, dass es sich beim Inhalt dieser E-Mail um eine rechtsverbindliche Erklärung der entsprechenden Gesellschaft der Merz Gruppe handelt, es sei denn dies ist ausdrücklich als solches formuliert. Erklärungen, die eine Gesellschaft der Merz Gruppe verpflichten sollen, bedürfen jeweils der Unterschrift durch zwei zeichnungsberechtigte Personen dieser Gesellschaft. Diese E-Mail enthält vertrauliche und/oder rechtlich geschützte Informationen. Wenn Sie nicht der richtige Adressat sind oder diese E-Mail irrtümlich erhalten haben, informieren Sie bitte sofort den Absender und vernichten Sie diese E-Mail. Das unerlaubte Kopieren sowie die unbefugte Weitergabe dieser E-Mail ist nicht gestattet. This e-mail may contain confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error) please notify the sender immediately and destroy this email. Any unauthorised copying, disclosure or distribution of the material in this e-mail is strictly forbidden. (MRZ/2010)
