Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis
Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis
Background: Missing data is a challenge for all studies; however, this is especially true for electronic health record (EHR)-based analyses. Failure to appropriately consider missing data can lead to biased results. While there has been extensive theoretical work on imputation, and many sophisticated methods are now available, it remains quite …