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...

Descripción completa

Detalles Bibliográficos
Autores principales: Avalos, Marta, Pouyes, Hélène, Grandvalet, Yves, Orriols, Ludivine, Lagarde, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
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

Internet

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

Ejemplares similares