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Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm
This paper considers the problem of estimation and variable selection for large high-dimensional data (high number of predictors p and large sample size N, without excluding the possibility that N < p) resulting from an individually matched case-control study. We develop a simple algorithm for th...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416185/ https://www.ncbi.nlm.nih.gov/pubmed/25916593 http://dx.doi.org/10.1186/1471-2105-16-S6-S1 |