Abstract:
:This article presents a new approach for exploring the distribution of interindividual random effects in nonlinear mixed effect models. The approach introduces a spline function, which transforms an assumed normally distributed interindividual random effect to an arbitrary distribution approximating that of the data. The performance of this tool is illustrated using simulated pharmacokinetic data with non-normally distributed random effects. Results of the analyses of two real kinetic data sets are also presented.
journal_name
Biometricsjournal_title
Biometricsauthors
Fattinger KE,Sheiner LB,Verotta Dsubject
Has Abstractpub_date
1995-12-01 00:00:00pages
1236-51issue
4eissn
0006-341Xissn
1541-0420journal_volume
51pub_type
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