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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Hlavní autoři: Van Ness, Peter H., Allore, Heather G., Fried, Terri R., Lin, Haiqun
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2010
Témata:
Practice of Epidemiology
On-line přístup: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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