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Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable
Missing data occur frequently in empirical studies in health and social sciences, often compromising our ability to make accurate inferences. An outcome is said to be missing not at random (MNAR) if, conditional on the observed variables, the missing data mechanism still depends on the unobserved ou...
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| I publikationen: | Stat Sin |
|---|---|
| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7743916/ https://ncbi.nlm.nih.gov/pubmed/33335381 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.202016.0324 |
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