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Comparing methods to predict baseline mortality for excess mortality calculations.

Tamás Ferenci
Published in: BMC medical research methodology (2023)
Splines are not inherently unsuitable for predicting baseline mortality, but caution should be taken. In particular, the results suggest that the key issue is that the splines should not be too flexible to avoid overfitting. Even after having investigated a limited number of scenarios, the results suggest that there is not a single method that outperforms the others in all situations. As the WHO method on the German data illustrates, whatever method is chosen, it remains important to visualize the data, the fit, and the predictions before trusting any result. It will be interesting to see whether further research including other scenarios will come to similar conclusions.
Keyphrases
  • cardiovascular events
  • climate change
  • electronic health record
  • big data
  • cardiovascular disease
  • molecular dynamics
  • machine learning
  • data analysis
  • artificial intelligence
  • solid state