Confidence Interval Survival Function at Times

[isildur69]

Is there a way to get the confidence limits of the survival function at a specific time?

Example:

Using load_waltons data and WeibullFitter I could get this result:

df = load_waltons()
T = df['T']
E = df['E']

wbf = WeibullFitter().fit(T, E, label='WeibullFitter')
survivalat10 = wbf.survival_function_at_times(10.0)
print(survivalat10)

10.0 0.99734
Name: WeibullFitter, dtype: float64

How I get the 90% confidence interval for the survival function at time 10? I know I can get a DataFrame for series of times using wbf.confidence_interval_survival_function_ but is there a straightforward way to get the confidence limit of a point estimate?