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Bayesian Approach for Addressing Differential Covariate Measurement Error in Propensity Score Methods
Propensity score methods are an important tool to help reduce confounding in non-experimental studies and produce more accurate causal effect estimates. Most propensity score methods assume that covariates are measured without error. However, covariates are often measured with error. Recent work has...
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| Wydane w: | Psychometrika |
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| Główni autorzy: | , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2016
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5391318/ https://ncbi.nlm.nih.gov/pubmed/27738956 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11336-016-9533-x |
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