Sensitivity Analysis of Multiple Informant Models When Data are Not Missing at Random

Missing data are common in studies that rely on multiple informant data to evaluate relationships among variables for distinguishable individuals clustered within groups. Estimation of structural equation models using raw data allows for incomplete data, and so all groups may be retained even if onl...

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Main Authors: Blozis, Shelley A., Ge, Xiaojia, Xu, Shu, Natsuaki, Misaki N., Shaw, Daniel S., Neiderhiser, Jenae, Scaramella, Laura, Leve, Leslie, Reiss, David
Formato: Artigo
Idioma:Inglês
Publicado: 2013
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4162658/
https://ncbi.nlm.nih.gov/pubmed/25221420
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2013.769393
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