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Semiparametric regression models and sensitivity analysis of longitudinal data with nonrandom dropouts
We propose a family of regression models to adjust for nonrandom dropouts in the analysis of longitudinal outcomes with fully observed covariates. The approach conceptually focuses on generalized linear models with random effects. A novel formulation of a shared random effects model is presented and...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3023945/ https://ncbi.nlm.nih.gov/pubmed/21258610 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9574.2009.00435.x |
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