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Statistical analysis of self-reported health conditions in cohort studies: handling of missing onset age.

Sedigheh MirzaeiJosé Miguel MartínezShizue IzumiMotomi MoriGregory T ArmstrongYutaka Yasui
Published in: Journal of clinical epidemiology (2024)
The interval-censored method is a statistically valid and practical approach to the association analysis of self-reported time-to-event data when onset age may be missing. While the simpler approaches that force such data into complete data may enable the standard analytic methods to be applicable, there is considerable loss in both accuracy and precision relative to the interval-censored method.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • public health
  • data analysis
  • health information
  • climate change
  • deep learning