Method evidence record
Cox proportional hazards
The Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
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Cox Proportional Hazards Regression Model
Taxonomic method recordprocess-pipelineepidemiology
Collett, D. (2015). Modelling Survival Data in Medical Research (3rd ed.). CRC Press. · ISBN 978-1439856789
Open full method2 recorded citations, copied from the method source record.
Curated claims
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Related methods
Suggested5
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- See alsoAccelerated Failure Time Model
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketCohort Study
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketKaplan-Meier Analysis
machine-suggestedRelational suggestion, not evidence.
- Same method familyLogistic Regression
machine-suggestedRelational suggestion, not evidence.
- Same method familySurvival Analysis
machine-suggestedRelational suggestion, not evidence.