Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for CamDavidsonPilon from gravatar.com CamDavidsonPilon

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

PyPI version Anaconda-Server Badge Build Status Coverage Status Join the chat at https://gitter.im/python-lifelines/Lobby DOI

What is survival analysis and why should I learn it? Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer why do events occur now versus later under uncertainty (where events might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like what factors might influence deaths?

But outside of medicine and actuarial science, there are many other interesting and exciting applications of this survival analysis. For example:

  • SaaS providers are interested in measuring subscriber lifetimes, or time to some first action
  • inventory stock out is a censoring event for true "demand" of a good.
  • sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages
  • A/B tests to determine how long it takes different groups to perform an action.

lifelines is a pure Python implementation of the best parts of survival analysis. We'd love to hear if you are using lifelines, please leave an Issue and let us know your thoughts on the library.

Documentation and intro to survival analysis

If you are new to survival analysis, wondering why it is useful, or are interested in lifelines examples, API, and syntax, please read the Documentation and Tutorials page

Contact

Roadmap

You can find the roadmap for lifelines here.

Development

See our Contributing guidelines.

Citing lifelines

You can use this badge below to generate a DOI and reference text for the latest related version of lifelines:

DOI

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for CamDavidsonPilon from gravatar.com CamDavidsonPilon

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.30.0

0.29.0

0.28.0

0.27.8

0.27.7

0.27.6

0.27.5

0.27.4

0.27.3

0.27.2

0.27.1

0.27.0

0.26.4

0.26.3

0.26.2

0.26.0

0.25.11

0.25.10

0.25.9

0.25.8

0.25.7

0.25.6

0.25.5

0.25.4

0.25.3

0.25.2

0.25.1

0.25.0

0.24.16

0.24.15

0.24.14

0.24.13

0.24.12

0.24.11

0.24.10

0.24.9

0.24.8

0.24.7

0.24.6

0.24.5

This version

0.24.4

0.24.3

0.24.2

0.24.1

0.24.0

0.23.9

0.23.8

0.23.7

0.23.6

0.23.5

0.23.4

0.23.3

0.23.2

0.23.1

0.23.0

0.22.10

0.22.9

0.22.8

0.22.7

0.22.6

0.22.5

0.22.4

0.22.3

0.22.2

0.22.1

0.22.0

0.21.5

0.21.3

0.21.2

0.21.1

0.21.0

0.20.5

0.20.4

0.20.3

0.20.2

0.20.1

0.20.0

0.19.5

0.19.4

0.19.3

0.19.2

0.19.1

0.19.0

0.18.6

0.18.5

0.18.4

0.18.3

0.18.2

0.18.1

0.18.0

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.3

0.16.2

0.16.1

0.16.0

0.15.4

0.15.3

0.15.2

0.15.1

0.15.0

0.14.6

0.14.5

0.14.4

0.14.3

0.14.2

0.14.1

0.14.0

0.13.0

0.12.0

0.11.2

0.11.1

0.11.0

0.10.1

0.10.0

0.9.4

0.9.3.2

0.9.3.1

0.9.2

0.9.1.0

0.9.0.0

0.8.1.0

0.8.0.2

0.8.0.1

0.8.0.0

0.7.1.0

0.7.0.0

0.6.1.0

0.6.0.0

0.5.1.0

0.5.0.0

0.4.4.0

0.4.3.1

0.4.3

0.4.2

0.4.1.1

0.4.0.0

0.3.2.3

0.3.2.2

0.3.2.1

0.3.2.0.2

0.3.2.0

0.3.1.5

0.3.1.2

0.3.1.0

0.3.0.0

0.2.3.0.7

0.2.3.0.6

0.2.3.0.5

0.2.3.0.4

0.2.3.0.3

0.2.3.0.2

0.2.3.0.1

0.2.3.0

0.2.2.12

0.2.2.11

0.2.2.10

0.2.2.9

0.2.2.8

0.2.2.7

0.2.2.6

0.2.2.5

0.2.2.4

0.2.2.3

0.2.2.2

0.2.1.1

0.2.1

0.2.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lifelines-0.24.4.tar.gz (351.7 kB view details)

Uploaded Source

Built Distribution

lifelines-0.24.4-py3-none-any.whl (325.9 kB view details)

Uploaded Python 3

File details

Details for the file lifelines-0.24.4.tar.gz.

File metadata

  • Download URL: lifelines-0.24.4.tar.gz
  • Upload date:
  • Size: 351.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for lifelines-0.24.4.tar.gz
Algorithm Hash digest
SHA256 6507052a6d06c7d76223662889e8a911bdd2204849da13b05f6c889de0aff950
MD5 22f6e11254554ff37ed0be4f50976c1d
BLAKE2b-256 916120c8b664912a1951d544cedb2bc64c88c52d7d9d8cdc789949ac6705db80

See more details on using hashes here.

File details

Details for the file lifelines-0.24.4-py3-none-any.whl.

File metadata

  • Download URL: lifelines-0.24.4-py3-none-any.whl
  • Upload date:
  • Size: 325.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for lifelines-0.24.4-py3-none-any.whl
Algorithm Hash digest
SHA256 3b94f1a0eaa316d0e5933a955ed4248f00323d0c2a7b8838fd886fea7edf3f2e
MD5 27937cc059857aa8bd9973b1266b9e9c
BLAKE2b-256 33171ec11540461df101690d4918aab29374a61c08df2a755b6cfec382e4dd98

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page