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Hazard ratio interpretation, with examples

Updated 2026-09-25 · TrialCurve methods team

A hazard ratio (HR) compares the instantaneous event rate between two groups. HR = 1 means no difference. HR < 1 means fewer events in the treatment group: HR 0.75 is a 25% lower hazard at any given time. HR > 1 means more events: HR 1.30 is a 30% higher hazard. The 95% confidence interval shows the precision. If it excludes 1, the difference is statistically significant at the 5% level.

Reading the number

Hazard ratioMeaning (treatment vs control)
0.50Hazard halved: 50% lower instantaneous risk of the event
0.7525% lower hazard
1.00No difference
1.3030% higher hazard
2.00Hazard doubled

A hazard ratio can't be negative. It is a ratio of two rates, so it ranges from 0 to infinity. Its logarithm, used in meta-analysis, can be negative.

The confidence interval

What a hazard ratio is not

Getting a hazard ratio when the paper doesn't report one

You can estimate an HR from a published Kaplan–Meier figure by reconstructing the patient-level data and fitting a Cox model. See the hazard-ratio tool. For your own data, the Kaplan–Meier generator reports the HR, 95% CI and log-rank p.

FAQ

What does a hazard ratio of 0.75 mean?

The treatment group has a 25% lower hazard (instantaneous event rate) than the comparator at any given time, assuming proportional hazards.

What does a hazard ratio greater than 1 mean?

The event rate is higher in the treatment (or exposed) group than in the reference group; for example HR 1.3 is a 30% higher hazard.

Can a hazard ratio be negative?

No. It is a ratio of rates and lies between 0 and infinity; only its logarithm can be negative.

Is a hazard ratio the same as relative risk?

No. Relative risk compares cumulative risk at a fixed time; the hazard ratio compares instantaneous rates over the whole follow-up.

Reconstruct IPD from your own figure. Upload a Kaplan–Meier plot and get curves, numbers at risk, pseudo-IPD, hazard ratios and a validation pack. Three figures a month are free.

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