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A Note on MAR, Identifying Restrictions, Model Comparison, and Sensitivity Analysis in Pattern Mixture Models With and Without Covariates for Incomplete Data

Pattern mixture modeling is a popular approach for handling incomplete longitudinal data. Such models are not identifiable by construction. Identifying restrictions are one approach to mixture model identification (Little, 1995; Little and Wang, 1996; Thijs et al., 2002; Kenward et al., 2003; Daniel...

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Autors principals: Wang, Chenguang, Daniels, Michael J.
Format: Artigo
Idioma:Inglês
Publicat: 2011
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3136648/
https://ncbi.nlm.nih.gov/pubmed/21361893
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01565.x
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