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Using joint models to disentangle intervention effect types and baseline confounding: an application within an intervention study in prodromal Alzheimer's disease with Fortasyn Connect.

Floor M van OudenhovenSophie H N SwinkelsTobias HartmannHilkka SoininenAnneke M J van HeesDimitris Rizopoulos
Published in: BMC medical research methodology (2019)
Joint models provide a valuable tool in the statistical analysis of clinical studies with longitudinal and survival data, such as in prodromal Alzheimer's disease trials, and have several added values compared to separate analyses.
Keyphrases
  • randomized controlled trial
  • parkinson disease
  • cognitive decline
  • electronic health record
  • big data
  • machine learning
  • free survival
  • deep learning