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Further algebraic results pertaining to d-point D-optimal population designs where d≥3 and to V-optimal population designs proved elusive.
Two cases studies are investigated: single population designs, and stratified population designs, where different kinds of lights are replaced in the same retrofit study.
However, in population designs the observations are correlated and the theorem applies to the inclusion of an additional measurement schedule.
The evaluation of population designs based on two pharmacokinetic examples from the literature is shown to illustrate the efficiency and the simplicity of this theoretic approach.
In this paper V- and D-optimal population designs for the simple linear regression model with a random intercept term are considered.
It is noted that the V- and D-optimal population designs are robust to the value of the intraclass correlation coefficient.
Similar(43)
In population pharmacokinetic studies, the precision of parameter estimates is dependent on the population design.
Figure 2 Backcross population design to distinguish female meiotic drive from male-specific sources of distortion, and to distinguish gametic and zygotic differential selection mechanisms.
The study population, design and protocols of the study have been previously described [21], [22].
Only additive effects were simulated since we used an RI1 population design.
The study population, design and protocols have been described in detail elsewhere [8].
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