Publication date: 07/30/2020

Each model report contains a red triangle menu with some or all of the following options:

Test Parallelism

Helps determine whether the curves are similar in shape when they are shifted along the X axis. In certain situations, it is important to establish parallelism before making further comparisons between groups. This option is available only when a Group variable is specified on the platform launch window. This option is available for the Sigmoid models (Logistic and Gompertz), as well as the Linear Regression model, with the exception of higher-order polynomials. See Test Parallelism.

Area Under Curve

Gives the area under the fitted curve. This option is available for the following models: One Compartment, Two Compartment, Gaussian Peak, and Lorentzian Peak. This option is also available for Bi-Exponential 4P Models, but only when all parameters are positive. The range of integration depends on the type of model and is specified in the report.

If a Grouping variable is specified on the platform launch window, an Analysis of Means is performed for comparing the estimates across groups. If the result for a group exceeds a decision limit, the result is considered different from the overall mean of AUC.

Time to Peak Response

Displays the estimate of the regressor, X, at the peak of the fitted curve. The standard error of the estimate is also shown. This option is available for Cell Growth 4P and One Compartment models.

Peak Response

Displays the estimate of the response, Y, at the peak of the fitted curve. The standard error of the estimate is also shown. This option is available for Cell Growth 4P and One Compartment models.

Compare Parameter Estimates

Gives an analysis for testing the equality of parameters across levels of the grouping variable. This option is available only when a Group variable is specified on the platform launch window. See Compare Parameter Estimates.

Equivalence Test

Gives an analysis for testing the equivalence of models across levels of the grouping variable. This option is available only when a Group variable is specified on the platform launch window. See Equivalence Test.

Make Parameter Table

Saves the parameter estimates, standard errors, and t-ratios in a data table. This option is available only when a Group variable is specified on the platform launch window.

Plot Actual by Predicted

Plots actual Y values on the vertical axis and predicted Y values on the horizontal axis.

Plot Residual by Predicted

Plots the residuals on the vertical axis and the predicted Y values on the horizontal axis.

Profiler

Shows or hides a profiler of the fitted prediction function. The derivatives are derivatives of the prediction function with respect to the X variable. For more information about profilers, see Profiler in Profilers.

Save Formulas

Contains options for saving a variety of formula columns in the data table.

Save Prediction Formula

Saves the prediction equation.

Save Std Error of Predicted

Saves the standard error of the predicted values.

Save Parametric Prediction Formula

Saves the prediction equation in parametric form. This is helpful if you want to use the fitted model in the custom Nonlinear platform.

Save Residual Formula

Saves the residuals.

Save Studentized Residual Formula

Saves the studentized residual formula, a standard residual that is divided by its estimated standard deviation.

Save First Derivative

Saves the derivative of the prediction function with respect to the X variable.

Save Std Error of First Derivative

Saves the equation of the standard error of the first derivative.

Save Inverse Prediction Formula

Saves the equation for predicting X from Y.

Custom Inverse Prediction

Predicts an X value for a specific Y value. For more information about inverse prediction, see Inverse Prediction in Fitting Linear Models.

Remove Fit

Removes the model report, the entry from the Model Comparison report, and the fitted line from the plot.

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