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https://github.com/biolab/orange3-survival-analysis

🍊 :heavy_plus_sign: Survival Analysis add-on for Orange3 data mining suite.
https://github.com/biolab/orange3-survival-analysis

cox-regression kaplan-meier-plot survival-analysis

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🍊 :heavy_plus_sign: Survival Analysis add-on for Orange3 data mining suite.

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Orange3-Survival-Analysis


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![Example Workflow](doc/readme-screenshot.png)

Survival analysis add-on for the [Orange](http://orange.biolab.si)
data mining suite. For more see the [widget documentation](https://orangedatamining.com/widget-catalog/survival-analysis/kaplan-meier-plot/)
and [example workflows](https://orangedatamining.com/workflows/Survival-Analysis/).

Blog posts:
- [An introduction to the Kaplan-Meier Estimator](https://orangedatamining.com/blog/2022/2022-05-25-KaplanMeier/)
- [Cox regression in Orange](https://orangedatamining.com/blog/2023/2023-01-27-cox-regression-in-orange/)

# Easy installation

First, [download](https://orange.biolab.si/download) the latest Orange release from
our website. Then, to install the survival analysis add-on, head to
`Options -> Add-ons...` in the menu bar.

# For developers

If you would like to install from cloned git repository, run

pip install .

To register this add-on with Orange, but keep the code in the development directory
(do not copy it to Python's site-packages directory), run

pip install -e .

### Usage

After the installation, the widget from this add-on is registered with Orange. To run Orange from the terminal,
use

orange-canvas

or

python -m Orange.canvas

The new widget appears in the toolbox bar under the section Survival Analysis.
Starting up for the first time may take a while.