Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision

Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision

Abstract Background Observational studies are increasingly being used to provide supplementary evidence in addition to Randomized Control Trials (RCTs) because they provide a scale and diversity of participants and outcomes that would be infeasible in an RCT. Additionally, they more closely reflect...

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Bibliographic Details
Main Authors: Chinmay Belthangady, Will Stedden, Beau Norgeot
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Medical Research Methodology
Subjects:
Causal inference
Observational studies
Neural networks
Deep learning
Online Access:https://doi.org/10.1186/s12874-021-01383-x

Internet

https://doi.org/10.1186/s12874-021-01383-x

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