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Missing data: current practice in football research and recommendations for improvement.

David N BorgRobert NguyenNicholas J Tierney
Published in: Science & medicine in football (2021)
We recommend that researchers describe the number and percentage of missing values, including when there are no missing values. Exploratory analysis should be conducted to explore missing values, and visualisations describing missingness overall should be provided in the paper, or at least in supplementary materials. Missing values should almost always be imputed, and imputation methods should be explored to ensure they are appropriately representative. Researchers should consider these recommendations and pay greater attention to missing data and its influence on research results.
Keyphrases
  • primary care
  • healthcare
  • electronic health record
  • big data
  • clinical practice
  • machine learning
  • working memory
  • data analysis