Best (but oft-forgotten) practices: missing data methods in randomized controlled nutrition trials
Supported by the National Center for Advancing Translational Sciences of the NIH (award no. UL1TR001417, to PL; principal investigator: R Kimberly; award no. R01HL127491, to EAS; principal investigator: J Siddique). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Under an Elsevier user license
open archive
Key Words
missing data
randomized controlled trials
multiple imputation
full information maximum likelihood
missing data mechanisms
Abbreviations
CC
complete case
FCS
fully conditional specification
FIML
full information maximum likelihood
ITT
intent-to-treat
LOCF
last-observation-carried-forward
MAR
missing at random
MCAR
missing completely at random
MI
multiple imputation
ML
maximum likelihood
MNAR
missing not at random
MVN
multivariate normal
RCT
randomized controlled trial
Cited by (0)
Copyright © 2019 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.