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CAUSAL INFERENCE FOR CONTINUOUS-TIME PROCESSES WHEN COVARIATES ARE OBSERVED ONLY AT DISCRETE TIMES
Most of the work on the structural nested model and g-estimation for causal inference in longitudinal data assumes a discrete-time underlying data generating process. However, in some observational studies, it is more reasonable to assume that the data are generated from a continuous-time process an...
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| Main Authors: | , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2011
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3857358/ https://ncbi.nlm.nih.gov/pubmed/24339454 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/10-AOS830 |
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