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- URN zum Zitieren dieses Dokuments:
- urn:nbn:de:bvb:355-epub-522782
- DOI zum Zitieren dieses Dokuments:
- 10.5283/epub.52278
Zusammenfassung
Estimating the effects of interventions on patient outcome is one of the key aspects of personalized medicine. Their inference is often challenged by the fact that the training data comprises only the outcome for the administered treatment, and not for alternative treatments (the so-called counterfactual outcomes). Several methods were suggested for this scenario based on observational data, ...
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