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)
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