Options tab

The Options tab allows users to select the WagnerNelson model and set options for the selected model.

LR_Options_tab_1.png 

User Defined

Uniform

1/Y

1/(Y*Y)

Note:The relative proportions of the weights are important, not the weights themselves. See “Weighting” in the WinNonlin NCA section for more on weighting schemes.

When selecting a weighting model, there are a couple of rules to consider:

If User Defined is selected then users can enter their own Observed to Power N value. The value of N must be typed in the Weighting text field.

When a log-linear fit is done (Uniform weighting for Lambda Z), then the fit is implicitly using a weighting approximately equal to 1/Yhat2.

Note:If 1/Y and the Linear Log Trapezoidal calculation method are selected, a user could assume that the weighting scheme is 1/LogY, rather than 1/Y. However, this is not the case because concentra­tions between zero and one would have negative weights, and could not be included in the analy­sis.

Linear_Log_Trapezoidal: uses the log trapezoidal rule after Cmax, or after C0 if C0 > Cmax. Otherwise the linear trapezoidal rule is used. If Cmax is not unique, then the first maximum is used. This method uses linear trapezoids before Tmax and log trapezoids after Tmax.

Linear_Trapezoidal_Linear_Interpolation: This is the default method. It applies the linear trapezoidal rule to each pair of consecutive points in the dataset that have non-missing val­ues, and sums up these areas. This method uses linear trapezoids before and after Tmax.

Linear_Up_Log_Down: uses the linear trapezoidal rule any time that the concentration data is increasing, and the logarithmic trapezoidal rule is used any time that the concentration data is decreasing. This method uses linear trapezoids up and logarithmic trapezoids down before Tmax and linear trapezoids up and logarithmic trapezoids down after Tmax.

Linear_Trapezoidal_LinearLog_Interpolation: this method is the same as Linear_Trape­zoidal_Linear_Interpolation. It is used when a final time point, that is not in the dataset, is used for predictions. In that case, Phoenix inserts a final concentration value using the Lin­ear_Trapezoidal_Linear_Interpolation rule. If the final time point is after Cmax, or after C0 if C0 > Cmax, the Linear_Trapezoidal_LinearLog_Interpolation rule is used. If Cmax is not unique, then the first maximum is used. This method uses linear trapezoids before and after Tmax.

Note:The Linear Log Trapezoidal, the Linear Up Log Down, and the Linear Trapezoidal Linear/Log Interpolation methods all apply the same exceptions in area calculation and interpolation. If a Y value (concentration, rate, or effect) is less than or equal to zero, Phoenix defaults to the linear trapezoidal or linear interpolation rule for that point. If adjacent Y values are equal to each other, Phoenix defaults to the linear trapezoidal or linear interpolation rule.

No interpolation is performed in the Loo-Riegelman model.

To set the dosing unit

None 

kg 

g 

mg 

m**2 

1.73 m**2 

If doses are in milligrams per kilogram of body weight, select mg as the dosing unit and kg as the dose normalization. The Normalization menu affects the output parameter units. For example, if dose volume is in liters, selecting kg as the dose normalization changes the units to L/kg. Dose normalization affects units for all volume and clearance parameters, as well as AUCinf/D values.

Plots tab

In the Plots tab, users can select whether or not to produce plot output.

LR_Plots_tab_1.png 

Results

Worksheet

Description

Dosing Used

The dosing regimen specified for the modeling.

Exclusions

Excluded data points.

Final Parameters and
Final Parameters Piv­oted

Lists the following values for each profile.

Rsq: Goodness of fit statistic for the terminal elimination phase.

Rsq_adjusted: Goodness of fit statistic for the terminal elimi­nation phase, adjusted for the number of points used in the estimation of Lambda Z.

Lambda_z: First-order rate constant associated with the ter­minal (log-linear) portion of the curve.
Estimated by linear regression of time vs. log concentration.

No_points_lambda_z: Number of points used in computing Lambda Z.
If Lambda Z is not estimable, then no points are used.

WagnerNelson

Estimates for each profile, including time, concentration and cumulative AUC, cumulative amount absorbed, and relative fraction absorbed.
Units are taken from the input data.

Plot Titles

Lists the title of each Observed Y and Predicted Y vs X plot.

Summary

Details for fitting Lambda Z.
Not included for WagnerNelson with user-specified AUC¥.

 

Plots

Description

Observed Y and Pre­dicted Y vs X

Plot of the Lambda Z fit.
This plot group is not created if AUC¥ is user-specified or if Lambda Z is user-specified.

Relative Fraction Absorbed

Relative fraction absorbed vs time.

Users can double-click a plot in the Results tab to edit it. (See the menu options descriptions in the Plots chapter of the Data Tools and Plots Guide for plot editing options.)

Text

Description

Core output

Text file that contains a complete summary of the model com­mands, options, parameters, and values for a PK model, as well as any errors that occurred during modeling.

Settings

User-defined settings.

 


Last modified date:5/30/19
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