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Best linear inverse probability weighted estimation for two-phase designs and missing covariate regression
The inverse probability weighted estimator is often applied to two-phase designs and regression with missing covariates. Inverse probability weighted estimators typically are less efficient than likelihood-based estimators, but in general are more robust against model misspecification. In this paper...
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| Vydáno v: | Stat Med |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6588003/ https://ncbi.nlm.nih.gov/pubmed/30908669 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8141 |
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