Missing laboratory results data in electronic health databases: Implications for monitoring diabetes risk Academic Article uri icon

Overview

MeSH Major

  • Models, Statistical
  • Outcome Assessment (Health Care)
  • Selection Bias

abstract

  • Lab results can increase sensitivity of algorithms for detecting diabetes, and missing lab results are associated with much lower rates of diabetes ascertainment regardless of algorithm. Patterns of missing lab results may identify ascertainment bias.

publication date

  • January 2017

Research

keywords

  • Academic Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.2217/cer-2016-0033

PubMed ID

  • 27935320

Additional Document Info

start page

  • 25

end page

  • 32

volume

  • 6

number

  • 1