Journal article
Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing?
- Abstract:
-
Background
Missing outcomes can seriously impair the ability to make correct inferences from randomized controlled trials (RCTs). Complete case (CC) analysis is commonly used, but it reduces sample size and is perceived to lead to reduced statistical efficiency of estimates while increasing the potential for bias. As multiple imputation (MI) methods preserve sample size, they are generally viewed as the preferred analytical approach. We examined this assumption, comparing the per...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Funding
European and Developing Countries Clinical
Trials Partnership
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Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- Trials Journal website
- Volume:
- 17
- Issue:
- 1
- Pages:
- 341
- Publication date:
- 2016-07-01
- Acceptance date:
- 2016-06-29
- DOI:
- EISSN:
-
1745-6215
- Pmid:
-
27450066
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:638188
- UUID:
-
uuid:1471adbe-635d-4a29-93e8-bd8cc38e9377
- Local pid:
- pubs:638188
- Source identifiers:
-
638188
- Deposit date:
- 2017-08-25
Terms of use
- Copyright holder:
- Mukaka et al
- Copyright date:
- 2016
- Notes:
- © 2016 Mukaka et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Licence:
- CC Attribution (CC BY)
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