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Chirag Nagpal authored Apr 17, 2022
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<br>

Python package `auton_survival` provides a flexible API for various problems
in survival analysis, including regression, counterfactual estimation,
and phenotyping.
The `auton-survival` Package
---------------------------

The python package `auton-survival` is repository of reusable utilities for projects
involving censored Time-to-Event Data. `auton_survival` provides a flexible APIs
allowing rapid experimentation including dataset preprocessing, regression,
counterfactual estimation, clustering and phenotyping and propensity adjusted evaluation.

**For complete details on** `auton-survival` **see**:
<h3>• <a href="https://www.cs.cmu.edu/~chiragn/papers/auton_survival.pdf">White Paper</a> &nbsp;&nbsp; • <a href="https://autonlab.github.io/auton-survival/">Documentation</a> &nbsp;&nbsp; • <a href="https://nbviewer.org/github/autonlab/auton-survival/tree/master/examples/">Demo Notebooks</a></h3>



What is Survival Analysis?
--------------------------

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* There is presence of censoring ie. a large number of instances of data are
lost to follow up.

The Auton Survival Package
---------------------------

The package `auton_survival` is repository of reusable utilities for projects
involving censored Time-to-Event Data. `auton_survival` allows rapid
experimentation including dataset preprocessing, regression, counterfactual
estimation, clustering and phenotyping and propnsity adjusted evaluation.


Survival Regression
-------------------
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