![]() Administered Dose: The amount of drug given.Ī dataset containing terminal phase information is options.Note: The sort variables in the dosing data worksheet must match the sort variables used in the main input dataset. Required input is highlighted orange in the interface. When this panel is not used, it is assumed that the administered dose, or the dose associated with the data, is the same as the Loading Dose specified in the Regular Dosing tab, or the same as the dose at time zero specified in the Variable Dosing tab. Using the Administered Dose panel is optional. Concentration: The measured amount of a drug in blood plasma.Time: The relative or nominal sampling times used in a study.A separate analysis is performed for each unique combination of sort variables. Sort: Categorical variable(s) identifying individual data profiles, such as subject ID in a nonparametric analysis.None: Data types mapped to this context are not included in any analysis or output.NonParametric superposition requires a dataset containing time and concentration data, and sort variables to identify individual profiles. Use the Main Mappings panel to identify how input variables are used in the NonParametric object. All instructions for setting up and execution are the same whether the object is viewed in its own window or in Phoenix view. Note: To view the object in its own window, select it in the Object Browser and double-click it or press ENTER. Right-click menu for a worksheet: Send To > NCA and Toolbox > Nonparametric Superposition. Main menu: Insert > NCA and Toolbox > Nonparametric Superposition. Right-click menu for a Workflow object: New > NCA and Toolbox > Nonparametric Superposition. Use one of the following to add the Nonparametric Superposition object to a Workflow: The results can be used to help design experiments or to predict outcomes of clinical trials when used in conjunction with the semicompartmental modeling function. The feature allows predictions from simple (the same dose given in a constant interval) or complicated dosing schedules. The predictions are based upon an accumulation ratio computed from the terminal slope (Lambda Z). Phoenix’s nonparametric superposition object is used to predict drug concentrations after multiple dosing at steady state, and is based on noncompartmental results describing single dose data. An alternative method is based on the principle of superposition, which does not assume any pharmacokinetic (PK) model. This can be done by fitting the data to a compartmental model with some assumptions about the absorption rate of the drug. In pharmacokinetics it is often desirable to predict the drug concentration in blood or plasma after multiple doses, based on concentration data from a single dose. ![]()
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