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Censoring

Definition
AI-generated

In survival and time-to-event analyses, censoring means the event time is not fully observed for an individual: follow-up stops before the event, the event is not yet recorded in the database, or (in some designs) only interval information is available.

Topics
Regression and multivariate statistics Epidemiology Probability and inference
Synonyms
Right censoring (most common in cohort GWAS; event is known only to occur after last contact)
Related
Cox Proportional Hazards Model Hazard Kaplan–Meier Method

Why it matters in GWAS

Electronic health records and biobank withdrawal dates produce heterogeneous follow-up; ignoring censoring or treating censored individuals as controls can distort genetic associations. Competing risks (e.g. death from other causes) may require explicit extensions beyond a simple single-event Cox model.

Example usage

"Censoring at last hospital contact avoided misclassifying participants who emigrated as event-free at cohort end."

Cox Proportional Hazards Model Hazard Kaplan–Meier Method Survival Analysis Time-to-Event
Related-term network

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Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Klein JP, Moeschberger ML. (2003). Survival Analysis: Techniques for Censored and Truncated Data. Springer.
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