Graphical representation of survival curves in the presence of time-dependent categorical covariates with application to liver transplantation.

ABSTRACT: Graphical representation of survival curves is often used to illustrate associations between exposures and time-to-event outcomes. However, when exposures are time-dependent, calculation of survival probabilities is not straightforward. Our aim was to develop a method to estimate time-dependent survival probabilities and represent them graphically. Cox models with time-dependent indicators to represent state changes were fitted, and survival probabilities were plotted using pre-specified times of state changes. Time-varying hazard ratios for the state change were also explored. The method was applied to data from the Adult-to-Adult Living Donor Liver Transplantation Cohort Study (A2ALL). Survival curves showing a 'split' at a pre-specified time t allow for the qualitative comparison of sur

SUBMITTER: Smith AR 

PROVIDER: S-EPMC12034941 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature