Fitting multilevel models in complex survey data with design weights: Recommendations

BACKGROUND: Multilevel models (MLM) offer complex survey data analysts a unique approach to understanding individual and contextual determinants of public health. However, little summarized guidance exists with regard to fitting MLM in complex survey data with design weights. Simulation work suggest...

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Detalles Bibliográficos
Autor principal: Carle, Adam C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717116/
https://www.ncbi.nlm.nih.gov/pubmed/19602263
http://dx.doi.org/10.1186/1471-2288-9-49

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717116/
https://www.ncbi.nlm.nih.gov/pubmed/19602263
http://dx.doi.org/10.1186/1471-2288-9-49

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