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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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Dettagli Bibliografici
Autore principale: DeMaris, Alfred
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2014
Soggetti:
Accesso online: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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