Kaplan-Meier Estimator

The Kaplan-Meier estimator, also known as product limit estimator, is used to estimate the survival function from lifetime data. It is often used to measure the fraction of study subjects that are still alive after a certain amount of time after treatment. The curve obtained from the Kaplan-Meier estimator takes right-censoring data into account so that subjects withdrawing from the study prematurely or finish the study without event occurrence can be dealt with accordingly.
The data passed to this node is a table with one row for each study subject. For each subject the event that is studied either occurred, so that the event column contains a boolean True value, or the subject left the study (boolean False). Additionally to this information the time the event or censoring has taken place must be present. More information about the Kaplan-Meier estimator can be found on Wikipedia.

Options

Time column

The column containing the time at which the event or censoring occurred. Must be of type double, integer, or date/time.

Event column

The column indicating whether the event occurred (boolean True) or censoring occurred (boolean False). Must be of type boolean.

Group column

The optional column containing the group the subject belongs to. When selected, separate Kaplan-Meier curves are drawn for each group value.

Title

The title of the Kaplan-Meier plot displayed in the view.

Subtitle

The subtitle of the Kaplan-Meier plot displayed below the title in the view.

Image width

The width of the plot image in pixels.

Image height

The height of the plot image in pixels.

Scale view

When enabled, the view is scaled to fit the available space in the layout.

Allow fullscreen

When enabled, a button is shown in the view that allows the user to switch to fullscreen mode.

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Workflows

• Kaplan_Meier_AAMKNIME Forum
• Kaplan-Meier_Time-to-Event_AnalysisKNIME Hub
• Survival AnalysisKNIME Forum
• Survival AnalysisKNIME Forum

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