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If you are referring to the Bayesian mean or median posterior parameters for each subject, you have some choices.
If your results from PM_load() are in a variable called run1, then either of these will work.
run1$final$postMed or run1$final$postMean
#equivalent to final.1$postMed or final.1$postMean in legacy Pmetrics
run1$cov$summary() or run1$cov$summary(icen = "mean")
#equivalent to summary(cov.1) or summary(cov.1, icen = "mean") in legacy Pmetrics
…______________________________________
Michael Neely, MD, MSc, FCP | Chief, Division of Infectious Diseases
Director, Laboratory of Applied Pharmacokinetics and Bioinformatics (www.lapk.org<http://www.lapk.org/>),
The Saban Research Institute,
Children's Hospital Los Angeles
4650 Sunset. Blvd, #MS 176 | Los Angeles, CA 90027
Ph: 323.361.5047 | Fax: 323.361.1183 | ***@***.******@***.***>
www.chla.org<http://www.chla.org/>
Professor and Clinical Scholar | Department of Pediatrics,
Keck School of Medicine | University of Southern California
www.usc.edu<http://www.usc.edu/>
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Subject: [LAPKB/Pmetrics] How to generate primary PK parameters for each patient (Discussion #142)
Hi! Are you able to advise how we generate the primary PK parameters for each patient in version 2? We used to use write.table(cov.X). We can generate the data using exRes$final$data$popPoints but can only generate the first 82 patients. Thank you for your help!!
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Hi! Are you able to advise how we generate the primary PK parameters for each patient in version 2? We used to use write.table(cov.X). We can generate the data using exRes$final$data$popPoints but can only generate the first 82 patients. Thank you for your help!!
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