The performance of multiple imputations for different number of imputations
Multiple imputation method is a widely used method in missing data analysis. The method consists of a three-stage process including imputation, analyzing and pooling. The number of imputations to be selected in the imputation step in the first stage is important. Hence, this study aimed to examine t...
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Penerbit Universiti Kebangsaan Malaysia
2016
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| Online Access: | http://journalarticle.ukm.my/10397/ http://journalarticle.ukm.my/10397/ http://journalarticle.ukm.my/10397/1/23%20Gazel%20Ser.pdf |
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ukm-103972017-05-22T00:14:08Z http://journalarticle.ukm.my/10397/ The performance of multiple imputations for different number of imputations Ser, Gazel Keskin, Siddik Yilmaz, M. Can Multiple imputation method is a widely used method in missing data analysis. The method consists of a three-stage process including imputation, analyzing and pooling. The number of imputations to be selected in the imputation step in the first stage is important. Hence, this study aimed to examine the performance of multiple imputation method at different numbers of imputations. Monotone missing data pattern was created in the study by deleting approximately 24% of the observations from the continuous result variable with complete data. At the first stage of the multiple imputation method, monotone regression imputation at different numbers of imputations (m=3, 5, 10 and 50) was performed. In the second stage, parameter estimations and their standard errors were obtained by applying general linear model to each of the complete data sets obtained. In the final stage, the obtained results were pooled and the effect of the numbers of imputations on parameter estimations and their standard errors were evaluated on the basis of these results. In conclusion, efficiency of parameter estimations at the number of imputation m=50 was determined as about 99%. Hence, at the determined missing observation rate, increase was determined in efficiency and performance of the multiple imputation method as the number of imputations increased. Penerbit Universiti Kebangsaan Malaysia 2016-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10397/1/23%20Gazel%20Ser.pdf Ser, Gazel and Keskin, Siddik and Yilmaz, M. Can (2016) The performance of multiple imputations for different number of imputations. Sains Malaysiana, 45 (11). pp. 1755-1761. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol45num11_2016/contentsVol45num11_2016.html |
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Digital Repository |
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Local University |
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Universiti Kebangasaan Malaysia |
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UKM Institutional Repository |
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Online Access |
| language |
English |
| description |
Multiple imputation method is a widely used method in missing data analysis. The method consists of a three-stage process including imputation, analyzing and pooling. The number of imputations to be selected in the imputation step in the first stage is important. Hence, this study aimed to examine the performance of multiple imputation method at different numbers of imputations. Monotone missing data pattern was created in the study by deleting approximately 24% of the observations from the continuous result variable with complete data. At the first stage of the multiple imputation method, monotone regression imputation at different numbers of imputations (m=3, 5, 10 and 50) was performed. In the second stage, parameter estimations and their standard errors were obtained by applying general linear model to each of the complete data sets obtained. In the final stage, the obtained results were pooled and the effect of the numbers of imputations on parameter estimations and their standard errors were evaluated on the basis of these results. In conclusion, efficiency of parameter estimations at the number of imputation m=50 was determined as about 99%. Hence, at the determined missing observation rate, increase was determined in efficiency and performance of the multiple imputation method as the number of imputations increased. |
| format |
Article |
| author |
Ser, Gazel Keskin, Siddik Yilmaz, M. Can |
| spellingShingle |
Ser, Gazel Keskin, Siddik Yilmaz, M. Can The performance of multiple imputations for different number of imputations |
| author_facet |
Ser, Gazel Keskin, Siddik Yilmaz, M. Can |
| author_sort |
Ser, Gazel |
| title |
The performance of multiple imputations for different number of imputations |
| title_short |
The performance of multiple imputations for different number of imputations |
| title_full |
The performance of multiple imputations for different number of imputations |
| title_fullStr |
The performance of multiple imputations for different number of imputations |
| title_full_unstemmed |
The performance of multiple imputations for different number of imputations |
| title_sort |
performance of multiple imputations for different number of imputations |
| publisher |
Penerbit Universiti Kebangsaan Malaysia |
| publishDate |
2016 |
| url |
http://journalarticle.ukm.my/10397/ http://journalarticle.ukm.my/10397/ http://journalarticle.ukm.my/10397/1/23%20Gazel%20Ser.pdf |
| first_indexed |
2023-09-18T19:57:18Z |
| last_indexed |
2023-09-18T19:57:18Z |
| _version_ |
1777406615356440576 |