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A sensitivity analysis approach for informative dropout using shared parameter models

Shared parameter models (SPMs) are a useful approach to addressing bias from informative dropout in longitudinal studies. In SPMs it is typically assumed that the longitudinal outcome process and the dropout time are independent, given random effects and observed covariates. However, this conditiona...

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Bibliografische gegevens
Gepubliceerd in:Biometrics
Hoofdauteurs: Su, Li, Li, Qiuju, Barrett, Jessica K., Daniels, Michael J.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: John Wiley and Sons Inc. 2019
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6739227/
https://ncbi.nlm.nih.gov/pubmed/30666621
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13027
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