Multiple imputation and analysis for high‐dimensional incomplete proteomics data

Multivariable analysis of proteomics data using standard statistical models is hindered by the presence of incomplete data. We faced this issue in a nested case–control study of 135 incident cases of myocardial infarction and 135 pair‐matched controls from the Framingham Heart Study Offspring cohort...

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Detalles Bibliográficos
Autores principales: Yin, Xiaoyan, Levy, Daniel, Willinger, Christine, Adourian, Aram, Larson, Martin G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777663/
https://www.ncbi.nlm.nih.gov/pubmed/26565662
http://dx.doi.org/10.1002/sim.6800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777663/
https://www.ncbi.nlm.nih.gov/pubmed/26565662
http://dx.doi.org/10.1002/sim.6800

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