Cattle, BA, Baxter, PD, Greenwood, DC et al. (2 more authors) (2011) Multiple imputation for completion of a national clinical audit dataset. Statistics in Medicine, 30 (22). 2736 - 2753 . ISSN 0277-6715
Abstract
The Myocardial Ischaemia National Audit Project (MINAP) is a register of heart attacks covering 234 acute admitting hospitals in England and Wales. It is used to assess the extent to which hospitals are attaining the government targets for patients with heart attacks (myocardial infarction). MINAP is therefore of national importance in coronary care and of potential international importance for research. As with most observational databases, there is missing data in MINAP, which has the potential to bias statistical analyses. In this paper, we use multiple imputation to reduce the impact of missing data and we give details of how our imputation scheme was implemented. The key contribution of this paper is the provision of multiply completed datasets, suited to a range of analyses, that can be used to make efficient inferences without the distractions of missing data. Our work will assist MINAP in achieving its priority goal of providing useful data with which to analyse patient care.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2011, Wiley Blackwell. This is an author produced version of a paper published in Statistics in Medicine. Uploaded in accordance with the publisher's self-archiving policy. The definitive version is available at www3.interscience.wiley.com |
Keywords: | Clinical Audit, data interpretation, statistical, databases, factual, England, female, humans, male, models, statistical, myocardial infarction |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Division of Epidemiology & Biostatistics (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jun 2013 09:23 |
Last Modified: | 23 Jun 2023 21:33 |
Published Version: | http://dx.doi.org/10.1002/sim.4314 |
Status: | Published |
Publisher: | Wiley Blackwell |
Identification Number: | 10.1002/sim.4314 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:75589 |