Dimension reduction and shrinkage methods for high dimensional disease risk scores in historical data

BACKGROUND: Multivariable confounder adjustment in comparative studies of newly marketed drugs can be limited by small numbers of exposed patients and even fewer outcomes. Disease risk scores (DRSs) developed in historical comparator drug users before the new drug entered the market may improve adju...

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Detalles Bibliográficos
Autores principales: Kumamaru, Hiraku, Schneeweiss, Sebastian, Glynn, Robert J., Setoguchi, Soko, Gagne, Joshua J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4822311/
https://www.ncbi.nlm.nih.gov/pubmed/27053942
http://dx.doi.org/10.1186/s12982-016-0047-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4822311/
https://www.ncbi.nlm.nih.gov/pubmed/27053942
http://dx.doi.org/10.1186/s12982-016-0047-x

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