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Analyses of academician cohorts generate biased pandemic excess death estimates.

John P A Ioannidis
Published in: Journal of clinical epidemiology (2024)
Missingness, lack of representativeness, large uncertainty, and selective analysis reporting make data from academy rosters unreliable for estimating general population excess deaths.
Keyphrases
  • sars cov
  • coronavirus disease
  • electronic health record
  • big data
  • machine learning
  • data analysis