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ESTIMATING POPULATION AVERAGE CAUSAL EFFECTS IN THE PRESENCE OF NON-OVERLAP: THE EFFECT OF NATURAL GAS COMPRESSOR STATION EXPOSURE ON CANCER MORTALITY

Most causal inference studies rely on the assumption of overlap to estimate population or sample average causal effects. When data suffer from non-overlap, estimation of these estimands requires reliance on model specifications, due to poor data support. All existing methods to address non-overlap,...

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Detalhes bibliográficos
Publicado no:Ann Appl Stat
Main Authors: Nethery, Rachel C., Mealli, Fabrizia, Dominici, Francesca
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6658123/
https://ncbi.nlm.nih.gov/pubmed/31346355
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/18-AOAS1231
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