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, ENGLAND, APR 12-13, 2005. Published in: STATISTICAL METHODS IN MEDICAL RESEARCH, 16 (3). pp. 243-258.

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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 (UNSPECIFIED)
Subjects:	H Social Sciences > HV Social pathology. Social and public welfare Q Science > QH Natural history > QH301 Biology R Medicine Q Science > QA Mathematics
Journal or Publication Title:	STATISTICAL METHODS IN MEDICAL RESEARCH
Publisher:	SAGE PUBLICATIONS LTD
ISSN:	0962-2802
Date:	2007
Volume:	16
Number:	3
Number of Pages:	16
Page Range:	pp. 243-258
Identification Number:	10.1177/0962280206074464
Publication Status:	Published
Title of Event:	Workshop on Multiple Imputation
Location of Event:	MRC Biostatist Unit, Cambridge, ENGLAND
Date(s) of Event:	APR 12-13, 2005
URI:	http://wrap.warwick.ac.uk/id/eprint/31755

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