Restricted mean survival time — where it appears
Named by 2 essays across 2 fields — each of them below, with the objects they name alongside it.
Every patient at one half
A randomised trial in which the treatment halves every patient's hazard, and patients differ only in their baseline risk. The unadjusted Cox hazard ratio is 0.524 after six months of follow-up, 0.635 after three years and 0.679 after seven, and the ratio of the arms' hazards at a single moment climbs from 0.50 to 0.929 and falls back. Nothing is confounded and nothing is wrong. Survival removes high-risk patients from the control arm faster, and a hazard ratio compares whoever is left.
One test for a curve that might cross
The log-rank statistic and the differences in restricted mean survival at eleven horizons are one Gaussian vector under no effect, and its correlations are closed — from −0.461 at half a year to −0.949 at three, where the log-rank statistic is nearly the restricted mean itself. So one critical value, 2.374, prices the largest of all twelve. At 100 a side it keeps 93.6% of the log-rank test's power when the hazard is halved throughout and 98.5% of the best horizon's when the curves cross, where the log-rank test has none. Running both tests and keeping either rejection rejects 8.67% of trials with no effect.
Named alongside it
The objects these essays reach for when they reach for this one.
Closed formCox modelCritical valueFrailtyGaussian processHazard ratioKaplan–MeierLog-rank testMonte CarloMultiple testingNon-collapsibilityProportional hazards