Cox 回归 python
Cox regression python
Python有没有生存分析的包？具体来说，我有兴趣执行 Cox 回归？
我知道这个example but it's in R. Could we just interface Python with R (using, for example, rpy2)?
Python 中的生命线包提供生存分析，包括 Cox 比例风险拟合器：https://lifelines.readthedocs.io/en/latest/
我只想提供截至 2020 年 7 月更新的答案：
- 喜欢 ilse mentioned, lifelines is a great package for all things survival analysis. It plays very nicely with
pandas and has some great visualization tools 开箱即用。它正在不断发展和更新。此外，它的文档非常详尽。我什至会推荐阅读它作为研究一般生存分析的起点。
- scikit-surv is another option. While it lacks some of lifelines's features, its strong suit is that it is based on
scikit-learn, which makes it very easy to couple with other building blocks in your pipeline. Moreover, it includes implementations of ML algorithms for survival, such as Random Survival Forests and SSVMs.
- 最后，我们有 PySurvival. I have no experience with this framework, but it looks like it has quite a few algorithms as well. It is built on top PyTorch，等等。
再添加一个库到@arturo 的列表中：
- PyCox：建立在 PyTorch 之上，并提供了一些基于现代深度学习的生存预测算法。
Python有没有生存分析的包？具体来说，我有兴趣执行 Cox 回归？
我知道这个example but it's in R. Could we just interface Python with R (using, for example, rpy2)?
Python 中的生命线包提供生存分析，包括 Cox 比例风险拟合器：https://lifelines.readthedocs.io/en/latest/
我只想提供截至 2020 年 7 月更新的答案：
- 喜欢 ilse mentioned, lifelines is a great package for all things survival analysis. It plays very nicely with
pandasand has some great visualization tools 开箱即用。它正在不断发展和更新。此外，它的文档非常详尽。我什至会推荐阅读它作为研究一般生存分析的起点。 - scikit-surv is another option. While it lacks some of lifelines's features, its strong suit is that it is based on
scikit-learn, which makes it very easy to couple with other building blocks in your pipeline. Moreover, it includes implementations of ML algorithms for survival, such as Random Survival Forests and SSVMs. - 最后，我们有 PySurvival. I have no experience with this framework, but it looks like it has quite a few algorithms as well. It is built on top PyTorch，等等。
再添加一个库到@arturo 的列表中：
- PyCox：建立在 PyTorch 之上，并提供了一些基于现代深度学习的生存预测算法。