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The Use of Missingness Screens in Clinical Epidemiologic Research Has Implications for Regression Modeling

OBJECTIVE: Properly handling missing data is a challenge, especially when working with older populations that have high levels of morbidity and mortality. Methods have been developed to understand whether missing values are ignorable. We illustrate their use in a study of intensive care unit (ICU) d...

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Main Authors: Van Ness, Peter H., Murphy, Terrence E., Araujo, Katy L.B., Pisani, Margaret A., Allore, Heather G.
格式: Artigo
語言:Inglês
出版: 2007
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC2443713/
https://ncbi.nlm.nih.gov/pubmed/17998078
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jclinepi.2007.03.006
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