Process / pipelineClinical / epidemiology

Retrospective Cox Proportional Hazards — Survival Regression on Historical Data

Retrospective Cox proportional hazards regression applies Cox's (1972) semi-parametric survival model to time-to-event data extracted from existing records — medical charts, administrative databases, registries, or biobanks. It estimates covariate-adjusted hazard ratios (HRs) without specifying the underlying baseline hazard, making it the dominant analytic tool when the investigator works backward from already-recorded outcomes and exposures.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society, Series B, 34(2), 187–220. DOI: 10.1111/j.2517-6161.1972.tb00899.x
  2. Collett, D. (2015). Modelling Survival Data in Medical Research (3rd ed.). CRC Press. ISBN: 978-1439856789

Related methods

ScholarGateRetrospective Cox proportional hazards (Retrospective Cox Proportional Hazards Regression). Retrieved 2026-06-04 from https://scholargate.app/en/epidemiology/retrospective-cox-proportional-hazards