Cox proportional hazards model

Cox Proportional Hazards Model

The Cox Proportional Hazards Model (pronounced: kɒks prəˈpɔːrʃənəl ˈhɑːzərdz ˈmɒdəl), also known as the Cox regression model or Cox's model, is a statistical technique used in the field of medical statistics and epidemiology. The model was named after the British statistician Sir David Cox, who first proposed the model in 1972.

Etymology

The term "Cox Proportional Hazards Model" is derived from the name of its developer, Sir David Cox. The word "proportional" refers to the assumption that the hazard ratios are constant over time, while "hazards" refers to the risk of event occurrence, and "model" signifies the mathematical representation of the relationship between the hazard and the explanatory variables.

Description

The Cox Proportional Hazards Model is a survival analysis method that is used to investigate the effect of several variables upon the time a specified event takes to happen. In the context of an epidemiological study, this might be the time from treatment until death, with patients who are still alive at the end of the study being appropriately accounted for.

Related Terms

• Hazard ratio
• Survival analysis
• Regression analysis
• Epidemiology
• Medical statistics

See Also

• Kaplan-Meier estimator
• Log-rank test
• Survival function

References

This WikiMD.org article is a stub. You can help make it a full article.