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Survivalanalyse in Python

Shae Wang

Senior Data Scientist at Ripple

Waarom survivalanalyse?

Use cases

  • Tijd tot gebeurtenis schatten
  • Meten hoe factoren die tijd beïnvloeden

Censoring censoring

Survivalanalyse in Python

Overlevingscurves schatten

Kaplan-Meier-schatting

  • Niet-parametrisch model km curves

Weibull-model

  • Parametrisch model weibull curve
Survivalanalyse in Python

Het lifelines-pakket

Kaplan-Meier-schatting

from lifelines import KaplanMeierFitter

kmf = KaplanMeierFitter()

kmf.fit()

Weibull-model

from lifelines import WeibullFitter

wb = WeibullFitter()
wb.fit()
Survivalanalyse in Python

Overlevingscurve met covariaten

Methoden

  • Log-ranktest
  • Weibull-model
  • Cox Proportional Hazards (Cox PH)-model
Survivalanalyse in Python

Bedankt!

Survivalanalyse in Python

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