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A note on 'Collider bias undermines our understanding of COVID-19 disease risk and severity' and how causal Bayesian networks both expose and resolve the problem (2020)

First Author: Fenton N
Attributed to:  The Alan Turing Institute funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2005.08608

Publication URI: https://arxiv.org/abs/2005.08608

Type: Preprint