A Principled Approach to Characterize and Analyze Partially Observed Confounder Data from Electronic Health Records.

Janick G WeberpalsSudha R RamanPamela A ShawHana LeeMassimiliano RussoBradley G HammillSengwee TohJohn G ConnollyKimberly J DandreoFang TianWei LiuJie LiJosé J Hernández-MuñozRobert J GlynnRishi J Desai

Published in: Clinical epidemiology (2024)

Principled diagnostics provided reliable insights into missingness mechanisms. When assumptions allow, multiple imputation with nonparametric models could help reduce bias.

Keyphrases

electronic health record
clinical decision support
adverse drug
machine learning
artificial intelligence
big data