Combining machine learning methods for subgroup identification in time-to-event data with approximate Bayesian computation for bias correction
Year: 2025
Type: conference-paper
Abstract: 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]
DOI: 10.3205/25gmds067
Authors: Stahl, Henrik, Klein, Lukas, Grieser, Gunter, Jahn, Antje, Götte, Heiko
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7103880967
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