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Combating Unmeasured Confounding in Cross-Sectional Studies: Evaluating Instrumental-Variable and Heckman Selection Models
Unmeasured confounding is the principal threat to unbiased estimation of treatment “effects” (i.e., regression parameters for binary regressors) in nonexperimental research. It refers to unmeasured characteristics of individuals that lead them both to be in a particular “treatment” category and to r...
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2014
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| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4217491/ https://ncbi.nlm.nih.gov/pubmed/25110904 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1037/a0037416 |
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