Censoring (statistics)
Censoring (statistics)
Censoring in statistics refers to the condition in which the value of a measurement or observation is only partially known.
Pronunciation
/sen·sor·ing/
Etymology
The term 'censoring' is derived from the Latin word 'censere', which means 'to assess'.
Types of Censoring
There are three main types of censoring in statistics:
1. Right censoring: This occurs when a data point is above a certain value but it is unknown by how much.
2. Left censoring: This happens when a data point is below a certain value but it is unknown by how much.
3. Interval censoring: This is when a data point is known to lie between two values, but it is unknown exactly where.
Related Terms
- Survival analysis: A branch of statistics that deals with analysis of time duration until one or more events happen, such as death in biological organisms and failure in mechanical systems. Censoring is a crucial concept in survival analysis.
- Kaplan-Meier estimator: A non-parametric statistic used to estimate the survival function from lifetime data. It can handle right-censored data.
- Cox proportional hazards model: A regression model commonly used in medical research for investigating the association between the survival time of patients and one or more predictor variables. It can handle right-censored data.
See Also
External links
- Medical encyclopedia article on Censoring (statistics)
- Wikipedia's article - Censoring (statistics)
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