Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data
Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data
An important area of research in the postgenomics era is to relate high-dimensional genetic or genomic data to various clinical phenotypes of patients. Due to large variability in time to certain clinical events among patients, studying possibly censored survival phenotypes can be more informative than treating the phenotypes as categorical …