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 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.

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

This version

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

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-0.25.2.tar.gz (374.9 kB view details)

Uploaded Source

Built Distribution

lifelines-0.25.2-py3-none-any.whl (344.3 kB view details)

Uploaded Python 3

File details

Details for the file lifelines-0.25.2.tar.gz.

File metadata

  • Download URL: lifelines-0.25.2.tar.gz
  • Upload date:
  • Size: 374.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for lifelines-0.25.2.tar.gz
Algorithm Hash digest
SHA256 bf5627e970b1549eb3ced469a628875ce9622798ef7cd9066e9cc23578e33782
MD5 b57bbf3762992a02ceb9b258a4d53600
BLAKE2b-256 8620e2b9fd8a86be8ee5566a81c1cd731dbcb44f24af0436c18b04fe89e3d51e

See more details on using hashes here.

File details

Details for the file lifelines-0.25.2-py3-none-any.whl.

File metadata

  • Download URL: lifelines-0.25.2-py3-none-any.whl
  • Upload date:
  • Size: 344.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for lifelines-0.25.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8fbdbf54cf6b02ad64148deec9fa5e7c9db2d3a08f3e532a44891174964ee806
MD5 44a6badfe7ca9f095e961ec0b1d3c192
BLAKE2b-256 fb7b9b2cc2ef870b31ca342f97f5b0cd7a31eda13fcf16de4f55b8121b1144d3

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