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Doubly Robust Learning for Estimating Individualized Treatment with Censored Data
Individualized treatment rules recommend treatments based on individual patient characteristics in order to maximize clinical benefit. When the clinical outcome of interest is survival time, estimation is often complicated by censoring. We develop nonparametric methods for estimating an optimal indi...
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| Veröffentlicht in: | Biometrika |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4414056/ https://ncbi.nlm.nih.gov/pubmed/25937641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asu050 |
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