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Addressing Missing Data Mechanism Uncertainty using Multiple-Model Multiple Imputation: Application to a Longitudinal Clinical Trial

We present a framework for generating multiple imputations for continuous data when the missing data mechanism is unknown. Imputations are generated from more than one imputation model in order to incorporate uncertainty regarding the missing data mechanism. Parameter estimates based on the differen...

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Bibliografiska uppgifter
Huvudupphovsmän: Siddique, Juned, Harel, Ofer, Crespi, Catherine M.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2012
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC3596844/
https://ncbi.nlm.nih.gov/pubmed/23503984
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/12-AOAS555
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