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Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem in epidemiology. When there are time-varying confounders, which may include past outcomes, affected by prior exposure, standard regression methods can lead to bias. Methods such as inverse probability...
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| Izdano u: | Am J Epidemiol |
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| Glavni autori: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Oxford University Press
2018
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5928464/ https://ncbi.nlm.nih.gov/pubmed/29020128 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwx311 |
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