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Effects of systematic data reduction on trend estimation from German registration trials.

Jens HartungFriedrich LaidigHans-Peter Piepho
Published in: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik (2023)
) were observed. Bias increased with increasing genotype-by-year variance and disappeared with random selection. We simulated single-trait selection, whereas decisions in VCU trials consider multiple traits, so selection intensity per trait is considerably lower. Hence, our results provide an upper bound for the bias expected in practice.
Keyphrases
  • genome wide
  • healthcare
  • primary care
  • electronic health record
  • high intensity
  • big data
  • gene expression
  • deep learning