Estimands: improving inference in randomized controlled trials in clinical nutrition in the presence of missing values
European Journal of Clinical Nutrition, ISSN: 1476-5640, Vol: 72, Issue: 9, Page: 1291-1295
2018
- 4Citations
- 12Captures
- 1Mentions
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- Citations4
- Citation Indexes4
- CrossRef3
- Captures12
- Readers12
- 12
- Mentions1
- Blog Mentions1
- Blog1
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European Journal of Clinical Nutrition - Table of Contents alert Volume 72 Issue 9
If you are unable to see the message below, click here to view. TABLE OF CONTENTS Volume 72, Issue 9 In this issue Editorial
Article Description
For randomized controlled trials, the impact of the amount and handling of missing data on the interpretation of the treatment effect has been unclear. The current use of intention to treat, per protocol, and complete-case analysis has shortcomings. The use of estimands may lead to improved estimation of treatment effects through more precise characterizations of the fate of treatments after dropout or other post-randomization events. A perspective on current and future developments with a view toward clinical nutrition is provided.
Bibliographic Details
Springer Science and Business Media LLC
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