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.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
To use this node in KNIME, install the extension KNIME Statistics Nodes (Labs) from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.