Using nationally representative survey data for external adjustment of unmeasured confounders: An example using the NHANES data.

Sonia Hernandez-DiazBrian T BatemanKristin PalmstenSebastian SchneeweissKrista F Huybrechts

Published in: Pharmacoepidemiology and drug safety (2019)

National surveys like NHANES are readily available sources of information on potential confounders and they can be used to assess and improve the validity of RR estimates from observational studies missing data on known risk factors.

Keyphrases

electronic health record
risk factors
big data
cross sectional
machine learning
risk assessment
quality improvement
deep learning