Analysis of survival data from trials with non-proportional hazards: an empirical comparison of methods
نویسندگان
چکیده
Methods We analyse survival data reconstructed from two trials publications which reported extreme non-proportional hazards (with respective p-values as 9.19E-13 and 1.344E-24 in non-PH Grambsch-Thernau test). We use the Cox proportional hazards model, flexible parametric model and accelerated failure time model to estimate the time-independent hazard ratio, between-arm difference in restricted mean survival time (RMST) and acceleration factor as respective summary treatment effect measures. Estimation of the latter two measures does not require PH. We also analyse the hazard ratio and difference in RMST as time-dependent effects.
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