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Survival Analysis

Definition
AI-generated

Statistical methods for outcomes defined by time to an event (or age at onset), accounting for censoring when follow-up ends before the event is observed.

Topics
Regression and multivariate statistics GWAS
Synonyms
Time-to-event analysis Event-history analysis (closely related)
Related
Censoring Cox Proportional Hazards Model Hazard

Why it matters in GWAS

Biobank and cohort studies often phenotype participants with dates of diagnosis, death, or loss to follow-up rather than a static case-control label. Survival formulations use timing and censoring explicitly; mis-specifying the outcome as logistic case-control when incidence is informative can bias effect estimates and complicate meta-analysis with time-to-event studies.

Example usage

"A replication analysis checks whether assumptions tied to Survival Analysis remain stable across cohorts."

Censoring Cox Proportional Hazards Model Hazard Hazard Ratio (HR) Kaplan–Meier Method Measure of Effect Time-to-Event
Related-term network

Click any node to open that term page.

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.
  • Cox DR. (1972). Regression models and life-tables. J R Stat Soc Series B.
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