statsmodels.duration.survfunc.survdiff#
- statsmodels.duration.survfunc.survdiff(time, status, group, weight_type=None, strata=None, entry=None, **kwargs)[source]#
Test for the equality of two survival distributions
- Parameters:
- timearray_like
The event or censoring times.
- statusarray_like
The censoring status variable, status=1 indicates that the event occurred, status=0 indicates that the observation was censored.
- grouparray_like
Indicators of the two groups
- weight_type
str - The following weight types are implemented:
None (default) : logrank test fh : Fleming-Harrington, weights by S^(fh_p),
requires exponent fh_p to be provided as keyword argument; the weights are derived from S defined at the previous event time, and the first weight is always 1.
gb : Gehan-Breslow, weights by the number at risk tw : Tarone-Ware, weights by the square root of the number
at risk
- strataarray_like
Optional stratum indicators for a stratified test
- entryarray_like
Entry times to handle left truncation. The subject is not in the risk set on or before the entry time.
- Returns: