Comparison of a time-varying covariate model and a joint model of time-to-event outcomes in the presence of measurement error and interval censoring: application to kidney transplantation.
Kristen R CampbellElizabeth Juarez-ColungaGary K GrunwaldJames CooperScott DavisJane GrallaPublished in: BMC medical research methodology (2019)
To avoid underestimating associations, shared random effects models should be used in analyses of data with interval censoring and measurement error.