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Hi I'm studying pharmacokinetics and i was reading a study on how food can increase the F while fasted does not on ivermectin. The study was using VPc and bootstrap analysis and i could not understand either. The graph on vpc was odd looking with tre lines and i could not differentiate which was observant and simulation. Please explain? also why are there so many black dots around the second line in the middle and what does it mean?

Hi I'm studying pharmacokinetics and i was reading a study on how food can increase the F while fasted does not on ivermectin. The study was using VPc and bootstrap analysis and i could not understand either. The graph on vpc was odd looking with tre lines and i could not differentiate which was observant and simulation. Please explain? also why are there so many black dots around the second line in the middle and what does it mean?

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Hi I'm studying pharmacokinetics and i was reading a study on how food can increase the F while fasted does not on ivermectin. The study was using VPc and bootstrap analysis and i could not understand either. The graph on vpc was odd looking with tre lines and i could not differentiate which was observant and simulation. Please explain? also why are there so many black dots around the second line in the middle and what does it mean?

Concentration (ng/mL) 90 60 30 0. 0 Fed 20 0 Time (h) Figure 1. VPC (n=500 simulations) with 80% CI bands (10th and 90th percentiles shaded light grey, median shaded dark grey) and observed (dashed lines, 10th and 90th percentiles; solid line, median). 40 60 Fasted 20 40 60
Transcribed Image Text:Concentration (ng/mL) 90 60 30 0. 0 Fed 20 0 Time (h) Figure 1. VPC (n=500 simulations) with 80% CI bands (10th and 90th percentiles shaded light grey, median shaded dark grey) and observed (dashed lines, 10th and 90th percentiles; solid line, median). 40 60 Fasted 20 40 60
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Step 1: Introduction:

Visual predictive checks (VPCs) are a powerful tool for assessing the performance of population pharmacokinetic models. VPC plots compare observed data to simulated data to assess how well the model is predicting the observed data. Bootstrap analysis is a statistical method that can be used to estimate the uncertainty of the simulated data.

VPC plots are typically interpreted by looking at the median, 10th percentile, and 90th percentile of the simulated data. A good model will have a VPC plot where the observed data falls within the distribution of the simulated data.

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I think am starting to understand, thank you! From this graph how the first and second line be coming down and the third up? shouldn't it be the other way around since it a oral dos a not a IV. The plasma concentration should be going up not down since its a oral intake?

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