Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study

Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study

Abstract Background Missing data are common in end-of-life care studies, but there is still relatively little exploration of which is the best method to deal with them, and, in particular, if the missing at random (MAR) assumption is valid or missing not at random (MNAR) mechanisms should be assumed...

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Bibliographic Details
Main Authors: Giulia Carreras, Guido Miccinesi, Andrew Wilcock, Nancy Preston, Daan Nieboer, Luc Deliens, Mogensm Groenvold, Urska Lunder, Agnes van der Heide, Michela Baccini, ACTION consortium
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Medical Research Methodology
Subjects:
Missing data
MAR
MNAR
Advance care planning
Oncology
Quality of life
Online Access:https://doi.org/10.1186/s12874-020-01180-y

Internet

https://doi.org/10.1186/s12874-020-01180-y

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