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Evaluation of software for multiple imputation of semi-continuous data
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Yu, L. -M., Burton, Andrea and Rivero-Arias, Oliver (2007) Evaluation of software for multiple imputation of semi-continuous data. In: Workshop on Multiple Imputation, MRC Biostatist Unit, Cambridge, UK, 12-13 Apr 2005. Published in: Statistical Methods in Medical Research , Volume 16 (Number 3). pp. 243-258. doi:10.1177/0962280206074464 ISSN 0962-2802.
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Official URL: http://dx.doi.org/10.1177/0962280206074464
Abstract
It is now widely accepted that multiple imputation (MI) methods properly handle the uncertainty of missing data over single imputation methods. Several standard statistical software packages, such as SAS, R and STATA, have standard procedures or user-written programs to perform MI. The performance of these packages is generally acceptable for most types of data. However, it is unclear whether these applications are appropriate for imputing data with a large proportion of zero values resulting in a semi-continuous distribution. In addition, it is not clear whether the use of these applications is suitable when the distribution of the data needs to be preserved for Subsequent analysis. This article reports the findings of a simulation study carried out to evaluate the performance of the MI procedures for handling semi-continuous data within these statistical packages. Complete resource use data on 1060 participants from a large randomized clinical trial were used as the simulation population from which 500 bootstrap samples were obtained and missing data imposed. The findings of this study showed differences in the performance of the MI programs when imputing semi-continuous data. Caution should be exercised when deciding which program should perform MI on this type of data.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | H Social Sciences > HV Social pathology. Social and public welfare Q Science > QH Natural history > QH301 Biology R Medicine Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School | ||||
Journal or Publication Title: | Statistical Methods in Medical Research | ||||
Publisher: | Sage Publications Ltd. | ||||
ISSN: | 0962-2802 | ||||
Official Date: | 2007 | ||||
Dates: |
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Volume: | Volume 16 | ||||
Number: | Number 3 | ||||
Number of Pages: | 16 | ||||
Page Range: | pp. 243-258 | ||||
DOI: | 10.1177/0962280206074464 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | Workshop on Multiple Imputation | ||||
Type of Event: | Workshop | ||||
Location of Event: | MRC Biostatist Unit, Cambridge, UK | ||||
Date(s) of Event: | 12-13 Apr 2005 |
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