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

Internet

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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