Sensitivity Analysis When Data Are Missing Not-at-random
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- DOI 10.1097/ede.0b013e318209dec7
- PMID https://pubmed.ncbi.nlm.nih.gov/21293212
- OpenAlex ID W2057270012
- Type Article
- Language EN
- Published 03 Feb 2011
- Volume 22 (2)
- Pages 282
- Source Epidemiology
- Publisher Lippincott Williams & Wilkins
- FWCI 2.53
- Countries 1
- Institutions 4
- Added 24 Jun 2016
- Updated 20 Oct 2026
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Sensitivity Analysis When Data Are Missing Not-at-random
Article 2011 EN
To the Editor: The impact of missing data on the validity of results has often been overlooked in the medical literature.1 Missing data are usually classified as ignorable (including missing completely at random [MCAR] and missing at random [MAR]), and nonignorable (missing not-at-random [MNAR]).2 It is not possible to distinguish between ignorable and nonignorable missing data using observed data…
64
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4
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3
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2.53
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3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Noémie Resseguier | Inserm (FR) Aix-Marseille Université (FR) +2 | |
| 2 | Roch Giorgi | Inserm (FR) Aix-Marseille Université (FR) +2 | |
| 3 | Xavier Paolettí | Inserm (FR) Aix-Marseille Université (FR) +2 |
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