Time-varying associations of patient and tumor characteristics with cancer survival: an analysis of SEER data across 14 cancer sites, 2004-2017.
Emily K RobertsLingfeng LuoAlison M MondulMousumi BanerjeeChristine M VeenstraAngela B MariottoMatthew J SchipperKevin HeJeremy M G TaylorAndrew F BrouwerPublished in: Cancer causes & control : CCC (2024)
These findings suggest that proportional hazards assumptions are often violated when examining patient characteristics on cancer survival post-diagnosis. We discuss several interesting results where the relative hazards are time-varying and suggest possible interpretations. Based on the time-varying associations of several important covariates on survival after cancer diagnosis using a pan-cancer approach, the likelihood of the proportional hazards assumption being met or corresponding interpretation should be considered in survival analyses, as flawed inference may have implications for cancer care and policy.