I am performing a survival analysis using SAS EM and want to understand the underlying methods/algorithm in detail.
However, I did not find such information online or in any manual. The documentation only provides an in-depth description of how to apply the node.
Might be that I am missing an obvious source, so any hint is much appreciated.
Here are a few resources that might help:
https://support.sas.com/resources/papers/proceedings12/132-2012.pdf
Introduction to Survival Data Mining video
New Features in the SAS Enterprise Miner 12.3 Survival Node video
Thank you for your quick reply!
Dear Miss Czika,
Due to my data structure, I am also curious how a tree-based survival analysis would perform. However, I could not find any SAS procedure or EM-Node which is capable of dealing with time-varying covariates of counting process style data.
Did I miss something about that?
Do you have any thoughts about how the EM survival node deals with conditionally related covariates (b can be equal to 1 only if a is equal to 1)? In such settings, either intercation terms or tree structures should be desirable.
Many thanks in advance!
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
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