Multiple imputation for handling missing outcome data when estimating the relative risk

Multiple imputation for handling missing outcome data when estimating the relative risk

Abstract Background Multiple imputation is a popular approach to handling missing data in medical research, yet little is known about its applicability for estimating the relative risk. Standard methods for imputing incomplete binary outcomes involve logistic regression or an assumption of multivari...

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Bibliographic Details
Main Authors: Thomas R. Sullivan, Katherine J. Lee, Philip Ryan, Amy B. Salter
Format: Article
Language:English
Published: BioMed Central 2017-09-01
Series:BMC Medical Research Methodology
Subjects:
Relative risk
Missing data
Multiple imputation
Online Access:http://link.springer.com/article/10.1186/s12874-017-0414-5

Internet

http://link.springer.com/article/10.1186/s12874-017-0414-5

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