Estimating the loss of lifetime function using flexible parametric relative survival models.

ABSTRACT: BACKGROUND:Within cancer care, dynamic evaluations of the loss in expectation of life provides useful information to patients as well as physicians. The loss of lifetime function yields the conditional loss in expectation of life given survival up to a specific time point. Due to the inevitable censoring in time-to-event data, loss of lifetime estimation requires extrapolation of both the patient and general population survival function. In this context, the accuracy of different extrapolation approaches has not previously been evaluated. METHODS:The loss of lifetime function was computed by decomposing the all-cause survival function using the relative and general population survival function. To allow extrapolation, the relative survival function was fitted using existing parametric rela

SUBMITTER: Jakobsen LH 

PROVIDER: S-EPMC6350283 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature