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Chirag Nagpal authored Oct 25, 2021
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> :warning: **Not Implemented Yet!**
Deep Cox Mixtures
------------------
The Cox Mixture involves the assumption that the survival function
of the individual to be a mixture of K Cox Models. Conditioned on each
subgroup Z=k; the PH assumptions are assumed to hold and the baseline
hazard rates is determined non-parametrically using an spline-interpolated
Breslow's estimator.
For full details on Deep Cox Mixture, refer to the paper:

<a href="https://arxiv.org/abs/2101.06536">Deep Cox Mixtures
for Survival Regression. Machine Learning in Health Conference (2021)</a>


Installation
------------
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}
```

[3] [Deep Cox Mixtures for Survival Regression. Machine Learning for Healthcare (2021)](https://arxiv.org/abs/2101.06536)

```
@article{nagpal2021deep,
title={Deep Cox mixtures for survival regression},
author={Nagpal, Chirag and Yadlowsky, Steve and Rostamzadeh, Negar and Heller, Katherine},
journal={arXiv preprint arXiv:2101.06536},
year={2021}
}
```

Compatibility
-------------
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