A1107
Title: Case weighted power priors for hybrid control analyses with time-to-event data
Authors: Evan Kwiatkowski - UTHealth Houston (United States) [presenting]
Abstract: A method is developed for hybrid analyses that use external controls to augment internal control arms in randomized controlled trials (RCT) where the degree of borrowing is determined based on the similarity between RCT and external control patients to account for systematic differences (e.g. unmeasured confounders). The method represents a novel extension of the power prior, where discounting weights are computed separately for each external control based on compatibility with the randomized control data. The discounting weights are determined using the predictive distribution for the external controls derived via the posterior distribution for time-to-event parameters estimated from the RCT. This method is applied using a proportional hazards regression model with piecewise constant baseline hazard. A simulation study and a real-data example are presented based on a completed trial in non-small cell lung cancer. It is shown that the case weighted adaptive power prior provides robust inference under various forms of incompatibility between the external controls and the RCT population.
