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Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study.

Rosie Peggy CornishJ MacleodJ R CarpenterK Tilling
Published in: Emerging themes in epidemiology (2017)
In longitudinal studies with loss to follow-up, incorporating proxies for this study outcome obtained via linkage to external sources of data as auxiliary variables in MI models can give practically important bias reduction and efficiency gains when the study outcome is MNAR.
Keyphrases
  • machine learning
  • dna methylation
  • human immunodeficiency virus
  • deep learning
  • hiv infected