Combining machine learning methods for subgroup identification in time-to-event data with approximate Bayesian computation for bias correction

Personalized medicine is a crucial aspect in finding effective treatments for patients. In clinical development it is essential to identify subgroups of patients who exhibit a beneficial treatment effect, ideally before moving to confirmatory trials. The identified subgroups could be defined by predictive [for full text, please go to the a.m. URL]