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lifelines: survival analysis in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 Jul 2019Publisher:Zenodo
Authors: Davidson-Pilon, Cameron;

doi: 10.5281/zenodo.3351736 , 10.5281/zenodo.12549337 , 10.5281/zenodo.10456828 , 10.5281/zenodo.7883870 , 10.5281/zenodo.5512044 , 10.5281/zenodo.5510258 , 10.5281/zenodo.6746356 , 10.5281/zenodo.14007206 , 10.5281/zenodo.6359609 , 10.5281/zenodo.7111973 , 10.5281/zenodo.805993 , 10.5281/zenodo.5510270 , 10.5281/zenodo.7329096 , 10.5281/zenodo.7871054 , 10.5281/zenodo.8341606 , 10.5281/zenodo.5745573 , 10.5281/zenodo.7058951

lifelines: survival analysis in Python

Abstract

0.29.0 - 2024-06-25 update dependencies (pandas >= 2.1) update dependencies (scipy >= 1.7)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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25
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393
9