A multiple imputation‐based sensitivity analysis approach fo…
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- DOI 10.1002/sim.8691
- PMID https://pubmed.ncbi.nlm.nih.gov/32717095
- PMCID https://www.ncbi.nlm.nih.gov/pmc/articles/10481859
- OpenAlex ID W3045827281
- Type Article
- Language EN
- Published 27 Jul 2020
- Volume 39 (26)
- Pages 3756–3771
- Source Statistics in Medicine
- Publisher Wiley
- FWCI 2.11
- Countries 1
- Institutions 3
- Added 03 Aug 2020
- Updated 29 Oct 2026
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A multiple imputation‐based sensitivity analysis approach for data subject to missing not at random
Article 2020 EN Green
Missingness mechanism is in theory unverifiable based only on observed data. If there is a suspicion of missing not at random, researchers often perform a sensitivity analysis to evaluate the impact of various missingness mechanisms. In general, sensitivity analysis approaches require a full specification of the relationship between missing values and missingness probabilities. Such relationship c…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
4 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Chiu‐Hsieh Hsu Corresponding | University of Arizona (US) | |
| 2 | Yulei He | Centers for Disease Control an… (US) National Center for Health Sta… (US) | |
| 3 | Chengcheng Hu | University of Arizona (US) | |
| 4 | Wei Zhou | University of Arizona (US) |
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