Purpose. To design a parsimonious population pharmacodynamic experiment tha
t has the same or greater efficiency than that provided by two phase I stud
ies.
Methods. The design was based on optimization of the population Fisher info
rmation matrix. Options for optimization were (1) determination of the opti
mal sampling times for each group ("group" represents a group of subjects t
hat have identical design characteristics), (2) determination of the optima
l doses for each group, and (3) determination of the optimal group structur
e.
Results. (1) Optimizing the sampling times, while retaining only four uniqu
e times per group, provided a more parsimonious experiment with the same ef
ficiency as the original "study" that involved on average 10 samples per su
bject. Splitting sampling times between the first dose and a steady-state d
ose gave the most informative design. (2) The optimal dose was the same in
all groups and was the upper bound of the dose range. (3) The optimal popul
ation design consisted of only one group with four unique sampling times th
at are the same for all subjects.
Conclusion. A population pharmacodynamic trial design is presented that is
more parsimonious than the original study and would be appropriate for incl
usion in a premarketing clinical study.