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Hi
You need to specify an autocorrelation model to avoid samples at the same time. Please see:
Nyberg, J., Höglund, R., Bergstrand, M., Karlsson, M. O., & Hooker, A. C. (2012). Serial correlation in optimal design for nonlinear mixed effects models. Journal of Pharmacokinetics and Pharmacodynamics, 39(3), 239–249. https://doi.org/10.1007/s10928-012-9245-5
For an explanation.
Best regards,
Andrew
Andrew Hooker, Ph.D.
Associate Professor of Pharmacometrics
Dept. of Pharmaceutical Biosciences
Uppsala University
Box 591, 751 24, Uppsala, Sweden
Phone: +46 18 471 4355
Mobile: +46 768 000 725
www.farmbio.uu.se/research/researchgroups/pharmacometrics/
On 6 Aug 2018, 05:06 +0200, jwang ***@***.***>, wrote:
Hello Andrew,
Can I specify no autocorrelation to avoid sampling at the same time? According to the online guide, I tried the following script but got no success.
poped_db <- create.poped.database (strAutoCorrelationFile ="”),
I still have a lot of sampling points clustered at certain times.
Thank you,
Jin
PKPD Modeler at AbbVie
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I've read that paper and understand the general principle. However, that paper didn't provide any popED script, which could not be found in popED documentations either. Do you mind offering a sample code illustrating how to use the autocorrelation model to avoid same time sampling?
Hello Andrew,
Can I specify no autocorrelation to avoid sampling at the same time? According to the online guide, I tried the following script but got no success.
poped_db <- create.poped.database (strAutoCorrelationFile ="”),
I still have a lot of sampling points clustered at certain times.
Thank you,
Jin
PKPD Modeler at AbbVie
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