Statistical Methods for Cohort Studies of CKD: Survival Analysis in the Setting of Competing Risks.

ABSTRACT: Survival analysis is commonly used to evaluate factors associated with time to an event of interest (e.g., ESRD, cardiovascular disease, and mortality) among CKD populations. Time to the event of interest is typically observed only for some participants. Other participants have their event time censored because of the end of the study, death, withdrawal from the study, or some other competing event. Classic survival analysis methods, such as Cox proportional hazards regression, rely on the assumption that any censoring is independent of the event of interest. However, in most clinical settings, such as in CKD populations, this assumption is unlikely to be true. For example, participants whose follow-up time is censored because of health-related death likely would have had a shorter

SUBMITTER: Hsu JY 

PROVIDER: S-EPMC5498354 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature