There is Individualized Treatment. Why Not Individualized Inference
There is Individualized Treatment. Why Not Individualized Inference
复制标题
有个体化治疗。
DOI：
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
X. Meng
中科院分区：
文献类型：
--
作者：
Keli Liu;X. Meng
Doctors use statistics to advance medical knowledge; we use a medical analogy to build statistical inference “from scratch” and to highlight an improvement. A doctor, perhaps implicitly, predicts a treatment's effectiveness for an individual patient based on its performance in a clinical trial; the trial patients serve as controls for that particular patient. The same logic underpins statistical inference: To identify the best statistical procedure to use for a problem, we simulate a set of control problems and evaluate candidate procedures on the controls. Recent interest in personalized/individualized medicine stems from the recognition that some clinical trial patients are better controls for a particular patient than others. Therefore, an individual patient's treatment decisions should depend only on a subset of relevant patients. Individualized statistical inference implements this idea for control problems (rather than for patients). Its potential for improving data analysis matches that of personal...
DOI：
10.1214/10-sts337
发表时间：
2011
期刊：
Statistical science : a review journal of the Institute of Mathematical Statistics
影响因子：
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作者：
Kass,RobertE
通讯作者：
Kass,RobertE
影响因子：
2.7
作者：
Conti, S.;Gosling, J. P.;O'Hagan, A.
通讯作者：
O'Hagan, A.