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Multiply robust causal inference with double-negative control adjustment for categorical unmeasured confounding
Unmeasured confounding is a threat to causal inference in observational studies. In recent years, the use of negative controls to mitigate unmeasured confounding has gained increasing recognition and popularity. Negative controls have a long-standing tradition in laboratory sciences and epidemiology...
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| Vydáno v: | J R Stat Soc Series B Stat Methodol |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7768794/ https://ncbi.nlm.nih.gov/pubmed/33376449 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12361 |
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