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History-adjusted Marginal Structural Models for Estimating Time-varying Effect Modification
Much of epidemiology and clinical medicine is focused on estimating the effects of treatments or interventions administered over time. In such settings of longitudinal treatment, time-dependent confounding is often an important source of bias. Marginal structural models (MSMs) are a powerful tool fo...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2007
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2561999/ https://ncbi.nlm.nih.gov/pubmed/17875580 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwm232 |
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