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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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書目詳細資料
Main Authors: Zhang, Mingyuan, Joffe, Marshall M., Small, Dylan S.
格式: Artigo
語言:Inglês
出版: 2011
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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