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Fitting a shared frailty illness-death model to left-truncated semi-competing risks data to examine the impact of education level on incident dementia.

Catherine LeePaola GilsanzSebastien Haneuse
Published in: BMC medical research methodology (2021)
As illustrated by our analysis of Kaiser data, our proposed modeling framework allows the analyst to assess the impact of covariates on semi-competing risks data, such as incident dementia and death, while accounting for dependence between the outcomes when data are left-truncated, as is common in studies of aging and dementia.
Keyphrases
  • electronic health record
  • mild cognitive impairment
  • big data
  • cardiovascular disease
  • healthcare
  • metabolic syndrome
  • weight loss