Methods for correcting inference based on outcomes predicted by machine learning

Many modern problems in medicine and public health leverage machine-learning methods to predict outcomes based on observable covariates. In a wide array of settings, predicted outcomes are used in subsequent statistical analysis, often without accounting for the distinction between observed and pred...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2020-12, Vol.117 (48), p.30266-30275
Hauptverfasser:	Wang, Siruo, McCormick, Tyler H., Lee, Jeffrey T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autopsies Autopsy Cause of Death Computer Simulation First principles Gene expression Humans Learning algorithms Machine Learning Modelling Neural networks Observational learning Organ Specificity Phenotypes Physical Sciences Prediction models Public health Statistical analysis Statistical inference Statistical methods Statistics Training
Online-Zugang:	Volltext
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