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BITES: Balanced Individual Treatment Effect for Survival data

URN to cite this document:
urn:nbn:de:bvb:355-epub-522782
DOI to cite this document:
10.5283/epub.52278
Schrod, Stefan ; Schäfer, Andreas ; Solbrig, Stefan ; Lohmayer, Robert ; Gronwald, Wolfram ; Oefner, Peter J. ; Beißbarth, Tim ; Spang, Rainer ; Zacharias, Helena U. ; Altenbuchinger, Michael
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Date of publication of this fulltext: 16 May 2022 06:42



Abstract

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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