abpkesian analysis

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Non-steady-state Bayesian analysis

 

If a non-steady-state condition based on the population model is detected, two options for analysis are available:

1.Assume steady-state
2.Use non steady-state method

 

To help your decision the dialog displays the percentage of model steady-state. For example, if the regimen is close to 90%, then you may choose to assume steady-state.

 

Analysis of serum levels prior to steady-state uses a Bayesian methodology. In order to accurately assess non-steady-state data, the serum level at the start of the current regimen must be known.

1.Enter 0 (zero) if the patient had no drug on-board when the current regimen was started.
2.If the patient did have drug on-board when the current regimen was started, enter the serum level at the start of the current regimen.

 

It is important to note that, regardless of which option is selected, analysis of serum levels drawn prior to steady-state is not as accurate as a steady-state draw.

 

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