Survival Analysis
Definition
Survival time analysis examines the time until a specific event occurs.
Statistical methods for time until an event considering censored observations.
Simply explained
For example, one studies when machines fail. Machines still running at the end of observation are also considered.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A machine manufacturer models time until failure, although many systems are still running at the study's end.
Limits and pitfalls
- Censoring must not be confused with missing data; competing risks and time-dependent effects require appropriate models.
Origin & history
Kaplan and Meier published a nonparametric estimator of the survival function in 1958.
Use in mid-sized companies
- Possible application: A machine manufacturer models time until failure, although many systems are still running at the study's end.
Frequently asked questions
What does survival time analysis mean?
Statistical methods for time until an event considering censored observations. What should be noted? Censoring must not be confused with missing data; competing risks and time-dependent effects require appropriate models.
Sources
- Nonparametric Estimation from Incomplete Observations · Kaplan and Meier, Nonparametric Estimation from Incomplete Observations
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
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