The Probabilistic Sensitivity Analysis (PSA) page shows the results of your model when varying inputs of your model according to the specified probability distributions over a large number of simulations. You can access the PSA Results displays by clicking on 
in the Navigation Sidebar on the left side of your screen. Then click on 
in the menu that appears to the right of the Navigation Sidebar to continue to the PSA Results page. PSA Results are divided into three tabs, as follows: CE Plane, cost-effectiveness acceptability curve (CEAC), and expected value of perfect information (EVPI). Each results tab uses the following layout.
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Results Tabs
The Results tabs allow you to navigate between the different types of results shown on this page.
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Display Modes
The Display modes buttons allow you to toggle between different ways of visualizing the selected data.
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Export Button
The export button allows you to export the currently displayed table or figure.
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Display Area
The display area shows the selected table or chart.
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PSA Controls
This section allows to run the PSA by clicking the 'Run PSA' button. A message is displayed in this section if the inputs of your model have changed since the last time a PSA was run.
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Filter Configuration
The filter configuration section allows you to determine the data that will be displayed in the currently selected table or chart. The exact function of the section depends on the Results tab, but generally this involves selecting which strategies or outcomes for which results will be displayed.
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Display Configuration
The Display Configuration section allows you to control various style properties (font size, color schemes, etc.) that affect how the currently selected table or chart is displayed.
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User Override Values
The User Overrides section allows you to change the values of inputs to your model. Clicking the ‘Manage Override Values’ button will allow you to select which parameters are shown in this section. Please note that the ‘Manage Override Values’ button may not be visible when opening a shared model, depending on the permissions the owner of a model has granted to you.