Journal article
Comparison of methods for imputing limited-range variables: A simulation study
L Rodwell, KJ Lee, H Romaniuk, JB Carlin
BMC Medical Research Methodology | Published : 2014
Open access
Abstract
Background: Multiple imputation (MI) was developed as a method to enable valid inferences to be obtained in the presence of missing data rather than to re-create the missing values. Within the applied setting, it remains unclear how important it is that imputed values should be plausible for individual observations. One variable type for which MI may lead to implausible values is a limited-range variable, where imputed values may fall outside the observable range. The aim of this work was to compare methods for imputing limited-range variables, with a focus on those that restrict the range of the imputed values. Methods. Using data from a study of adolescent health, we consider three variabl..
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Awarded by Murdoch Children's Research Institute
Funding Acknowledgements
This work was supported by funding from the National Health and Medical Research Council: Career Development Fellowship ID 1053609 (KJL), a Centre of Research Excellence grant, ID 1035261, awarded to the Victorian Centre for Biostatistics (ViCBiostat), and Project Grant ID 607400. The authors acknowledge support provided to the Murdoch Childrens Research Institute through the Victorian Government's Operational Infrastructure Support Program. This paper used unit record data from the Victorian Adolescent Health Cohort Study. For this we thank the Principal Investigator, Professor George Patton.