Výsledky vyhledávání - "Miao, Jiacheng"

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ipd: An R Package for Conducting Inference on Predicted Data

Autor: Salerno, Stephen, Miao, Jiacheng, Afiaz, Awan, Hoffman, Kentaro, Neufeld, Anna, Lu, Qiongshi, McCormick, Tyler H., Leek, Jeffrey T.

Summary: ipd is an open-source R software package for the downstream modeling of an outcome and its associated features where a potentially sizable portion of the outcome data has been imputed by an artificial intelligence or machine learning (AI/ML)

Externí odkaz: http://arxiv.org/abs/2410.09665

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Task-Agnostic Machine-Learning-Assisted Inference

Autor: Miao, Jiacheng, Lu, Qiongshi

Machine learning (ML) is playing an increasingly important role in scientific research. In conjunction with classical statistical approaches, ML-assisted analytical strategies have shown great promise in accelerating research findings. This has also

Externí odkaz: http://arxiv.org/abs/2405.20039

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Assumption-Lean and Data-Adaptive Post-Prediction Inference

Autor: Miao, Jiacheng, Miao, Xinran, Wu, Yixuan, Zhao, Jiwei, Lu, Qiongshi

A primary challenge facing modern scientific research is the limited availability of gold-standard data which can be costly, labor-intensive, or invasive to obtain. With the rapid development of machine learning (ML), scientists can now employ ML alg

Externí odkaz: http://arxiv.org/abs/2311.14220

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