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A comparison of multiple imputation with EM algorithm and MCMC method for quality of life missing data

Content Provider	Springer Nature Link
Author	Lin, Ting Hsiang
Copyright Year	2008
Abstract	This study investigated the performance of multiple imputations with Expectation-Maximization (EM) algorithm and Monte Carlo Markov chain (MCMC) method in missing data imputation. We compared the accuracy of imputation based on some real data and set up two extreme scenarios and conducted both empirical and simulation studies to examine the effects of missing data rates and number of items used for imputation. In the empirical study, the scenario represented item of highest missing rate from a domain with fewest items. In the simulation study, we selected a domain with most items and the item imputed has lowest missing rate. In the empirical study, the results showed there was no significant difference between EM algorithm and MCMC method for item imputation, and number of items used for imputation has little impact, either. Compared with the actual observed values, the middle responses of 3 and 4 were over-imputed, and the extreme responses of 1, 2 and 5 were under-represented. The similar patterns occurred for domain imputation, and no significant difference between EM algorithm and MCMC method and number of items used for imputation has little impact. In the simulation study, we chose environmental domain to examine the effect of the following variables: EM algorithm and MCMC method, missing data rates, and number of items used for imputation. Again, there was no significant difference between EM algorithm and MCMC method. The accuracy rates did not significantly reduce with increase in the proportions of missing data. Number of items used for imputation has some contribution to accuracy of imputation, but not as much as expected.
Starting Page	277
Ending Page	287
Page Count	11
File Format	PDF
ISSN	00335177
Journal	Quality and Quantity
Volume Number	44
Issue Number	2
e-ISSN	15737845
Language	English
Publisher	Springer Netherlands
Publisher Date	2008-09-11
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Missing data Imputation EM algorithm MCMC Quality of life Social Sciences Methodology of the Social Sciences
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Social Sciences

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