Exploring functional abilities and competing risks among stroke patients: a longitudinal and survival analysis study at Felege Hiwot Referral Hospital, Ethiopia.

A substantial proportion of patients who had a stroke experienced mortality and drop-out during the study period, highlighting the importance of considering competing risks in stroke research. Age, diabetes, white cell count and stroke complications were significant covariates affecting both longitudinal and survival submodels. Compared with stand-alone models, the joint competing risk modelling technique offers comprehensive insights into the disease's transition pattern.