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When data are not missing at random: implications for measuring health conditions in the Behavioral Risk Factor Surveillance System

OBJECTIVES: To examine the effect on estimated levels of health conditions produced from large-scale surveys, when either list-wise respondent deletion or standard demographic item-level imputation is employed. To assess the degree to which further bias reduction results from the inclusion of correl...

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Detalles Bibliográficos
Autores principales:	Frankel, Martin R, Battaglia, Michael P, Balluz, Lina, Strine, Tara
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Group 2012
Materias:	Research Methods
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400062/ https://www.ncbi.nlm.nih.gov/pubmed/22798250 http://dx.doi.org/10.1136/bmjopen-2011-000696

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