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 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.

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

This version

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

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-0.26.4.tar.gz (382.2 kB view details)

Uploaded Source

Built Distribution

lifelines-0.26.4-py3-none-any.whl (348.5 kB view details)

Uploaded Python 3

File details

Details for the file lifelines-0.26.4.tar.gz.

File metadata

  • Download URL: lifelines-0.26.4.tar.gz
  • Upload date:
  • Size: 382.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for lifelines-0.26.4.tar.gz
Algorithm Hash digest
SHA256 997bb06c8ef535286e2c21ba2f71c34bb571b314e7cd375348f63c1fdd30e1eb
MD5 f08ec42dba53557acdb519f7c1b1b8c0
BLAKE2b-256 3ce28fd1bfe17d5d7525bc43b63331bc43ba8945623a854dcf5d87a53bbb5c37

See more details on using hashes here.

File details

Details for the file lifelines-0.26.4-py3-none-any.whl.

File metadata

  • Download URL: lifelines-0.26.4-py3-none-any.whl
  • Upload date:
  • Size: 348.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for lifelines-0.26.4-py3-none-any.whl
Algorithm Hash digest
SHA256 51a0a5f585281f92dc0c1ef89493141df69e766b014ad0d2ae631d1acc18d696
MD5 4492d841ddb7c08bda1d07ccddcd7171
BLAKE2b-256 9c609f5a9890098c2658c665d6d06ccfd6a7037c042b010e2323892df0c0ab97

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