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The population modelling approach allows the prediction of serum Pt concentrations at any time-point and AUC over any time-period for each individual patient, as used in the statistical analysis, irrespective of the actual time-points of blood and urine sampling.
As a measure of CK and PCK, 10 plausible values for each dimension obtained from the population modelling were used (so each analysis was carried out 10 times).e Analyses were carried out using the software R (Version 3.1.1).
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The population modeled was a population of DH lines from a biparental cross of inbred parents.
The population modeled in this analysis is infants and children younger than 5 years old.
This was performed in order to obtain initial estimates for the population modeling.
And those essentially act to reduce the overall input to the population model.
In the population model the influence of the different local energy charges inside the reactor is taken into account.
A segregated model is proposed to couple the population model with the specific expansion rate of the new cells.
We also introduce a superpopulation structure for model-based inference that allows the population model to reflect naturally occurring clustering.
A paired T-Test analysis demonstrated that significant differences in outcomes were dependant on the population model adopted.
The variability remaining unexplained after the population model was fitted to the data was 6.5% to 10.8%.
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