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Bayesian semi-parametric G-computation for causal inference in a cohort study with MNAR dropout and death.
Causal inference with observational longitudinal data and time-varying exposures is often complicated by time-dependent confounding and attrition. The G-computation formula is one approach for estimating a causal effect in this setting. The parametric modeling approach typically used in practice rel...
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| Vydáno v: | J R Stat Soc Ser C Appl Stat |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7939177/ https://ncbi.nlm.nih.gov/pubmed/33692597 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssc.12464 |
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