SurvfuncRight.quantile_ci()

statsmodels.duration.survfunc.SurvfuncRight.quantile_ci

SurvfuncRight.quantile_ci(p, alpha=0.05, method='cloglog') [source]

Returns a confidence interval for a survival quantile.

Parameters:

p : float

The probability point for which a confidence interval is determined.

alpha : float

The confidence interval has nominal coverage probability 1 - alpha.

method : string

Function to use for g-transformation, must be ...

Returns:

lb : float

The lower confidence limit.

ub : float

The upper confidence limit.

Notes

The confidence interval is obtained by inverting Z-tests. The limits of the confidence interval will always be observed event times.

References

The method is based on the approach used in SAS, documented here:

http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_lifetest_details03.htm

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.duration.survfunc.SurvfuncRight.quantile_ci.html

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