Becoming familiar with multilevel modeling
نویسندگان
چکیده
منابع مشابه
Multilevel Regression and Multilevel Structural Equation Modeling
Multilevel modeling in general concerns models for relationships between variables defined at different levels of a hierarchical data set, which is often viewed as a multistage sample from a hierarchically structured population. Common applications are individuals within groups, repeated measures within individuals, longitudinal modeling, and cluster randomized trials. This chapter treats the m...
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Previous work has shown that multilevel modeling can be a valuable technique for epidemiologic analysis. The complexity of using this approach, however, continues to restrict its general application. A critical factor is the lack of flexible and appropriate software for multilevel modeling. SAS provides a macro, GLIMMIX, that can be used for multilevel modeling, but that is not sufficient for a...
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ژورنال
عنوان ژورنال: Significance
سال: 2007
ISSN: 1740-9705
DOI: 10.1111/j.1740-9713.2007.00249.x