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?

Answer

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