Restricted Mean Survival Time (RMST)
Restricted mean survival time (RMST) is the expected event-free time up to a pre-specified time horizon, equal to the area under the survival curve up to that horizon.
제한평균생존시간(RMST)은 미리 정한 시점까지의 기대 무사건 생존시간으로, 해당 시점까지 생존곡선 아래 면적과 같다.
How do I compare survival between groups when the proportional hazards assumption does not hold?
비례위험 가정이 성립하지 않을 때 집단 간 생존을 어떻게 비교하나요?
Restricted mean survival time compares groups by the average event-free time up to a chosen horizon, reported as a difference or ratio in time units. It fits when hazards are not proportional, curves cross, or an absolute and clinically interpretable summary is preferred over a hazard ratio.
When to use Restricted Mean Survival Time (RMST)
- Survival curves cross or the proportional hazards assumption is violated
- Reporting treatment benefit in time units, such as months of event-free life gained
- Comparing two groups up to a clinically meaningful follow-up time
When to use something else
- Hazards are proportional and a relative effect is wanted: use the Cox proportional hazards model
- Covariate adjustment of many predictors is the focus: use RMST regression or a Cox model
Assumptions and requirements
- The time horizon (tau) is pre-specified and within the follow-up of both groups
- Independent (non-informative) censoring
- Enough subjects remain at risk near the horizon
What the analysis reports
- RMST for each group up to tau with confidence intervals
- Difference and ratio in RMST with confidence intervals and p-value
- Kaplan-Meier curves with the area up to tau
- Restricted mean time lost (optional)
How to report it
Up to [tau] months, restricted mean survival time was [value] months in [group 1] and [value] months in [group 2], difference = [value] months, 95% CI [[value], [value]], p = [value].
Related methods
- Kaplan-Meier Estimator
- Log-Rank Test
- Cox Proportional Hazards Model
Run Restricted Mean Survival Time (RMST) on Quorant
- Data you need
- a table (CSV or Excel) with a time variable and an event indicator
- Price
- 250 credits for one analysis up to 10,000 rows (complexity level 2); larger or wider data costs more. Optional methodologist review: 1200 credits.
- Checking
- Python results are cross-checked against R reference outputs in every deployment
- Before you pay
- A free pre-analysis diagnosis checks your data and gives an exact quote; nothing is deducted until you approve it.