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Imputing missing covariates in time-to-event analysis within distributed research networks: A simulation study.

Dongdong LiJenna WongXiaojuan LiSengwee TohRui Wang
Published in: Pharmacoepidemiology and drug safety (2022)
These findings suggest the validity and feasibility of imputation within DRNs in the presence of missing covariate data in time-to-event analysis under various settings. The performance of the four imputation algorithms varies with the effect sizes and level of missingness.
Keyphrases
  • machine learning
  • big data
  • deep learning
  • artificial intelligence