Conditional validation sampling for consistent risk estimation with binary outcome data subject to misclassification.

Christopher A GravelPatrick J FarrellDaniel Krewski

Published in: Pharmacoepidemiology and drug safety (2020)

Careful consideration when choosing the sampling scheme used to draw internal validation samples can improve the properties of the outcome misclassification bias-adjusted odds-ratio estimator in a (multiple) contingency table.

Keyphrases

electronic health record
big data
machine learning
deep learning
data analysis
finite element