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A goodness-of-fit test for structural nested mean models
Coarse structural nested mean models are tools for estimating treatment effects from longitudinal observational data with time-dependent confounding. There is, however, no guidance on how to specify the treatment effect model, and model misspecification can lead to bias. We derive a goodness-of-fit...
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| Publicado no: | Biometrika |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5152627/ https://ncbi.nlm.nih.gov/pubmed/27980344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asw031 |
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