Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning

Abstract Prediction and causal explanation are fundamentally distinct tasks of data analysis. In health applications, this difference can be understood in terms of the difference between prognosis (prediction) and prevention/treatment (causal explanation). Nevertheless, these two concepts are often...

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Veröffentlicht in:	International journal of epidemiology 2021-01, Vol.49 (6), p.2074-2082
Hauptverfasser:	Arnold, Kellyn F, Davies, Vinny, de Kamps, Marc, Tennant, Peter W G, Mbotwa, John, Gilthorpe, Mark S
Format:	Artikel
Sprache:	eng
Schlagworte:	Education Corner
Online-Zugang:	Volltext
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