Rui Song

TL;DR: It is shown that the proposed methods also possess the sure screening property with vanishing false selection rate, which justifies the applicability of such a simple method in a wide spectrum.

TL;DR: In this article, a variable screening procedure via correlation learning was proposed to reduce dimensionality in sparse ultra-high-dimensional models, and the extent to which the dimensionality can be reduced by independence screening is quantified.

TL;DR: Song et al. as discussed by the authors proposed a more general version of the independent learning with ranking the maximum marginal likelihood estimates in generalized linear models and showed that the proposed methods also possess the sure screening property with vanishing false selection rate, which justifies the applicability of such a simple method in a wide spectrum.

TL;DR: Use of CRT with or without a defibrillator in advanced heart failure patients was associated with marked reductions in all-cause, cardiac, and heart failure hospitalization rates in an analysis that accounted for the competing risk of mortality and unequal follow-up time.

TL;DR: Nonparametric methods for estimating an optimal individualized treatment rule in the presence of censored data are developed and a doubly robust estimator is proposed which requires correct specification of either the censoring model or survival model but not both.