Similarity-principle-based machine learning method for clinical trials and beyond
The control of type-I error is a focal point for clinical trials. On the other hand, it is also critical to be able to detect a truly efficacious treatment in a clinical trial. With recent success in supervised learning (classification and regression problems), artificial intelligence (AI) and machi...
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| Language: | en_US |
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2021
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| Online Access: | https://hdl.handle.net/2144/41983 |