I Brahim Edhem Yılmaz, Levent Doğan
Talking technology: exploring chatbots as a tool for cataract patient education
Clinical & experimental optometry
surveillance epidemiology end results seer cancer registries provides information survival duration cause death cancer patients baseline demographic tumor characteristics age sex race year diagnosis tumor stage inform expected survival time patients associations survival may constant postdiagnosis period using seer data examined timevarying associations patient tumor characteristics survival assessed relationships differed across 14 cancer sites standard cox proportional hazards models extended allow timevarying associations incorporated competingrisks framework separately modeling cancerspecific othercause deaths cancer site five factors estimated relative hazard ratio absolute hazard time presence competing risks comprehensive consideration patient tumor characteristics estimating timevarying hazards showed associations age tumor stage diagnosis raceethnicity risk death cancerspecific othercause change time many cancers characteristics sex year diagnosis exhibit timevarying patterns well stage diagnosis largest associations survival findings suggest proportional hazards assumptions often violated examining patient characteristics cancer survival postdiagnosis discuss several interesting results relative hazards timevarying suggest possible interpretations based timevarying associations several important covariates survival cancer diagnosis using pancancer approach likelihood proportional hazards assumption met corresponding interpretation considered survival analyses flawed inference may implications cancer care policy