A multistate platform model for time-to-event endpoints in oncology clinical trials.

ABSTRACT: A multistate platform model was developed to describe time-to-event (TTE) endpoints in an oncology trial through the following states: initial, tumor response (TR), progressive disease (PD), overall survival (OS) event (death), censor to the last evaluable tumor assessment (progression-free survival [PFS] censor), and censor to study end (OS censor), using an ordinary differential equation framework. Two types of piecewise functions were used to describe the hazards for different events. Piecewise surge functions were used for events that require tumor assessments at the scheduled study visit times (TR, PD, and PFS censor). Piecewise constant functions were used to describe hazards for events that occur evenly throughout the study (OS event and OS censor). The multistate TTE model was appl

SUBMITTER: Lin CW 

PROVIDER: S-EPMC10787202 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature