Handling Missing Data in Health Economics and Outcomes Research (HEOR): A Systematic Review and Practical Recommendations.

Kumar MukherjeeNecdet B GunsoyRita M KristyJoseph C CappelleriJessica RoydhouseJudith J StephensonDavid J VannessSujith RamachandranNneka C OnwudiweSri Ram PentakotaHelene KarcherGian Luca Di Tanna

Published in: PharmacoEconomics (2023)

Several health economics and outcomes research studies did not offer a justification of their approach of handling missing data and some used only a single method without a sensitivity analysis. This systematic literature review highlights the importance of considering the missingness mechanism and including sensitivity analyses when planning, analyzing, and reporting health economics and outcomes research studies.

Keyphrases

public health
healthcare
mental health
health information
electronic health record
adipose tissue
machine learning
risk assessment
artificial intelligence
glycemic control
deep learning