Alex ☆ Austria, 2013-12-12 11:49 (4167 d 06:45 ago) Posting: # 12044 Views: 5,143 |
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Dear All! I want to simulate PK profiles from the publication by Björkman et al (2012) in which a population PK of recombinant factor VIII including body weight and age as covariate is published. It is a two-compartmental model with an additive error, random effects were only assumed for the first compartment: CLi = f(BWi, Agei, fixed effectCL,...)*exp(random effecti,CL) V1i = f(BWi, fixed effectV1,...)*exp(random effecti,V1) What I understand: Random effects are two-dimensional normal distributed with mean zero (covariance matrix can be found in the paper). Setting the random effects to zero leads to the population parameters as exp(0)=1. It's a multiplicative effect. What I do not understand: How do I simulate profiles from this model taking random effects into accout? Exponentiating random draws from the two-dimensional normal distribution and multiplicating it with the population parameters CL and V1 leads to implausible values. I would be very happy to read your suggestions! Kind regards and thanks in advance, Alex PS: Björkman S, Oh M, Spotts G, Schroth P, Fritsch S, Ewenstein BM, Casey K, Fischer K, Blanchette VS, Collins PW. Population pharmacokinetics of recombinant factor VIII: the relationships of pharmacokinetics to age and body weight. Blood. 2012 Jan 12;119(2):612-8. |
Alex ☆ Austria, 2013-12-12 15:59 (4167 d 02:35 ago) @ Alex Posting: # 12048 Views: 4,202 |
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Dear all! I just solved my problem! The error was in the transformation of the covariance matrix of the random effects - from CV(%) on the observed scale to variance in the log-domain. Kind regards, Alex |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2013-12-12 16:04 (4167 d 02:31 ago) @ Alex Posting: # 12049 Views: 4,252 |
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Hi Alex! ❝ […] The error was in the transformation of the covariance matrix of the random effects - from CV(%) on the observed scale to variance in the log-domain. A classical one. ![]() — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
Alex ☆ Austria, 2013-12-13 11:56 (4166 d 06:38 ago) @ Helmut Posting: # 12055 Views: 4,163 |
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Hi Helmut! ❝ A classical one. Thanks for that one. There's a similar workshop in Munich ... |