Doubly robust learning for estimating individualized treatment with censored data
نویسندگان
چکیده
منابع مشابه
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 individualized treatment rule in the presence of censored data. To adjust for censoring, we propose a...
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ژورنال
عنوان ژورنال: Biometrika
سال: 2014
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asu050