Impact of proportional hazards assumption
EVENTS
Estimating DRMST and DS using flexible parametric models under the proportional hazards assumption always leads to gains in power compared to non-parametric estimation. Using all the data, rather than censoring at 3 years, leads to another increase in power, even for estimands defined at 3 years, like DRMST and DS. This is because, under the proportional hazards assumption, even later events can help learn more about earlier time points.