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unmconf : an R package for Bayesian regression with unmeasured confounders

Abstract The inability to correctly account for unmeasured confounding can lead to bias in parameter estimates, invalid uncertainty assessments, and erroneous conclusions. Sensitivity analysis is an approach to investigate the impact of unmeasured confounding in observational studies. However, the a...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Ryan Hebdon, James Stamey, David Kahle, Xiang Zhang
Hōputu: Artigo
Reo:Inglês
I whakaputaina: BMC 2024-09-01
Rangatū:BMC Medical Research Methodology
Ngā marau:
Urunga tuihono:https://doi.org/10.1186/s12874-024-02322-2
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