Optimizing matching and analysis combinations for estimating causal effects

Matching methods are common in studies across many disciplines. However, there is limited evidence on how to optimally combine matching with subsequent analysis approaches to minimize bias and maximize efficiency for the quantity of interest. We conducted simulations to compare the performance of a...

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Detalles Bibliográficos
Autores principales: Colson, K. Ellicott, Rudolph, Kara E., Zimmerman, Scott C., Goin, Dana E., Stuart, Elizabeth A., Laan, Mark van der, Ahern, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793248/
https://www.ncbi.nlm.nih.gov/pubmed/26980444
http://dx.doi.org/10.1038/srep23222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793248/
https://www.ncbi.nlm.nih.gov/pubmed/26980444
http://dx.doi.org/10.1038/srep23222

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