abpkesian analysis

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Pre-steady-state Bayesian analysis

 

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

1.Assume steady-state
2.Use pre-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 pre-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.

 

 

Please note: regardless of which option is selected, analysis of serum level(s) drawn prior to steady-state is not nearly as accurate as a steady-state draw.

 

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