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 ...