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lifelines-hc.higher_criticism_test(),
berk_jones_test(), fisher_combination_test()
and min_p_test() for two-sample right-censored survival
data.event_pvalues() and suspected_deviations()
expose the per-interval hypergeometric p-values and the intervals
flagged by the Higher Criticism threshold.plot_pvalue_profile() draws the signed per-interval
p-value profile.Surv(time, status) ~ group, with data,
subset and na.action.
cbind(time, status) ~ group and time ~ group
work without survival attached, the latter treating every
observation as an event. The first level of the grouping variable is
group A, so alternative = "greater" tests for excess hazard
in the second level. The two interfaces are tested to return
bit-identical statistics and p-values; they differ only in that the
formula method applies na.action to incomplete rows, where
the vector interface rejects them.hc_version selects the Higher Criticism variant:
"dj2008" (default), "dj2004" (equation (2) of
the paper), "beta" or "star". The names and
the default match the hc_version argument of
lifelines-hc and the named methods of the Python
multitest package (>= 0.2.2); all four agree with it to
machine precision.stats and
graphics.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.