In PROC PHREG, a hazard ratio of 2.5 is reported for a binary predictor 'treatment' (0=control, 1=treated). How is this interpreted?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because the Cox model hazard ratio represents the multiplicative change in instantaneous event rate (hazard) between groups. HR = 2.5 for treated vs.
Full explanation below image
Full Explanation
B is correct because the Cox model hazard ratio represents the multiplicative change in instantaneous event rate (hazard) between groups. HR = 2.5 for treated vs. control means the instantaneous event rate is 2.5 times higher for the treatment group at any given time point. A is wrong; hazard ratios describe event rates, not survival probabilities directly. C is wrong; median survival difference is not directly conveyed by HR. D is wrong; odds ratios come from logistic regression on binary outcomes, not Cox regression.