A Signature Enrichment Design with Bayesian Adaptive Randomization.
作者： Fang Xia , Stephen L. George , Jing Ning , Liang Li , Xuelin Huang
DOI: 10.1080/02664763.2020.1757048
关键词: Classifier (UML) 、 Precision medicine 、 Adaptive randomization 、 Bayesian probability 、 Cancer Medicine 、 Adaptive design 、 Clinical trial 、 Machine learning 、 Artificial intelligence 、 Computer science
摘要: … responses can be observed shortly after receiving treatment, our design adopts an adaptive enrichment approach by developing a sensitive patient classifier to screen sensitive and non…
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