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Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey-Nutrition Using the National Cancer Institute (NCI) Method.

Karelyn A DavisAlejandro GonzalezLidia LoukineCunye QiaoAlireza SadeghpourMichel VigneaultKuan Chiao WangDominique Ibanez
Published in: Nutrients (2019)
Early experience in using the NCI method with Canadian nutrition surveys data led to the development of a flowchart to facilitate the choice of the NCI model to use. The ability of the NCI method to include covariates permits comparisons between both 2004 and 2015. This study shows that the improper application of pooling and stratification as well as the outlier detection can lead to biased results. This early experience can provide guidance to other researchers and ensures consistency in the analysis of usual dietary intake in the Canadian context.
Keyphrases
  • electronic health record
  • big data
  • artificial intelligence
  • loop mediated isothermal amplification
  • label free