Detecting potential outliers in longitudinal data with time-dependent covariates.

Lazarus K MrambaXiang LiuKristian F LynchJimin Yang Carin Andrén AronssonSandra HummelJill M NorrisSuvi M VirtanenLeena HakolaUlla M UusitaloJeffrey P Krischer

Published in: European journal of clinical nutrition (2024)

At the exploratory data analysis stage, the IQR algorithm can be used as a data quality control tool to identify potential outliers at the visit level, which can be further investigated.

Keyphrases

data analysis
quality control
electronic health record
big data
machine learning
deep learning
atomic force microscopy
cross sectional
mass spectrometry
neural network
high speed
single molecule