Understanding survival analysis: Kaplan-Meier estimate
Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences
Abstract
Kaplan-Meier estimate is one of the best options to be used to measure the fraction of subjects living for a certain amount of time after treatment. In clinical trials or community trials, the effect of an intervention is assessed by measuring the number of subjects survived or saved after that intervention over a period of time. The time starting from a defined point to the occurrence of a given event, for example death is called as survival time and the analysis of group data as survival analysis. This can be affected by subjects under study that are uncooperative and refused to be remained in the study or when some of the subjects may not experience the event or death before the end of the study, although…
Citation impact
- FWCI
- 3.43
- Percentile
- 100%
- References
- 4
Authors
3Topics & keywords
- Survival analysis
- Event (particle physics)
- Time point
- Intervention (counseling)
- Statistics
- Point (geometry)
- Kaplan–Meier estimator
- Proportional hazards model