Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data.

Juan Carlos Bazo-Alvarez Tim P Morris Tra My PhamJames R CarpenterIrene Petersen

Published in: Clinical epidemiology (2020)

Aggregate-level SR analysis can bias the ITS estimates when individual-level data are MAR, because taking averages of individual-level data before SR means that data at the cluster level are missing not at random. Avoiding the averaging-step and using mixed models with or without multilevel multiple imputation of covariates is recommended.

Keyphrases

electronic health record
big data
data analysis
machine learning
cross sectional
deep learning
neural network