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Inverse Intensity Weighting in Generalized Linear Models as an Option for Analyzing Longitudinal Data with Triggered Observations

Longitudinal epidemiologic studies with irregularly observed categorical outcomes present considerable analytical challenges. Generalized linear models (GLMs) tolerate without bias only values missing completely at random and assume that all observations contribute equally. A triggered sampling stud...

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Detalhes bibliográficos
Main Authors: Van Ness, Peter H., Allore, Heather G., Fried, Terri R., Lin, Haiqun
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2800302/
https://ncbi.nlm.nih.gov/pubmed/19942574
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwp333
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