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Causal inference in longitudinal studies with history-restricted marginal structural models
A new class of Marginal Structural Models (MSMs), History-Restricted MSMs (HRMSMs), was recently introduced for longitudinal data for the purpose of defining causal parameters which may often be better suited for public health research or at least more practicable than MSMs (6, 2). HRMSMs allow inve...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2007
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3475192/ https://ncbi.nlm.nih.gov/pubmed/23087778 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/07-EJS050 |
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