Near-Far Matching in R: The nearfar Package
Estimating the causal treatment effect of an intervention using observational data is difficult due to unmeasured confounders. Many analysts use instrumental variables (IVs) to introduce a randomizing element to observational data analysis, potentially reducing bias created by unobserved confounders...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Foundation for Open Access Statistics
2018-09-01
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| Series: | Journal of Statistical Software |
| Subjects: | |
| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/2838 |
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