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Application of Bayesian analysis to the doubly labelled water method for total energy expenditure in humans.

Yue RuanLes C J BluckJames SmithAdrian ManderPriya SinghMichelle C Venables
Published in: Rapid communications in mass spectrometry : RCM (2018)
The Bayesian analysis is an appealing method to estimate TEE during DLW experiments. The principal advantages over those obtained using the classical least-squares method is the generation of potentially more useful estimates of TEE, and improved handling of outliers and missing data scenarios, particularly if a hierarchical model is used.
Keyphrases
  • climate change
  • big data
  • electronic health record
  • artificial intelligence