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pythonstatisticssurvival-analysissurvivallifelines
Mischa
Mischa

Reputation: 103

Show Cancer Specific Survival at exact time (Kaplan Meier in Lifelines)

kmf.survival_function_ (LifeLines Package)

shows me Cancer Specific Survival (CSS) of my cohort at different times (0, 4, 6...128 month). How can CSS be shown at exactly 120 month?

Upvotes: 0

Views: 573

Answers (1)

AlexK
AlexK

Reputation: 3011

The survival_function_at_times() method will get you that value. Here is an example with a sample dataset:

from lifelines import KaplanMeierFitter

from lifelines.datasets import load_waltons
data = load_waltons()

T = data['T']
E = data['E']

kmf = KaplanMeierFitter().fit(T, E, label='KaplanMeierFitter')

timeline = [10, 12, 14]  # insert 120 and/or any other values here

# directly compute the survival function, returning a pandas Series
kmf.survival_function_at_times(timeline)

# 10    0.96921
# 12    0.96921
# 14    0.95069
# Name: KaplanMeierFitter, dtype: float64

Upvotes: 4

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