Rui Song
Title
Cited by
Cited by
Year
Sure independence screening in generalized linear models with NP-dimensionality
J Fan, R Song
The Annals of Statistics 38 (6), 3567-3604, 2010
5342010
Nonparametric independence screening in sparse ultra-high-dimensional additive models
J Fan, Y Feng, R Song
Journal of the American Statistical Association 106 (494), 544-557, 2011
4502011
CLINICAL PERSPECTIVE
IS Anand, P Carson, E Galle, R Song, J Boehmer, JK Ghali, B Jaski, ...
Circulation 119 (7), 969-977, 2009
1822009
Doubly robust learning for estimating individualized treatment with censored data
YQ Zhao, D Zeng, EB Laber, R Song, M Yuan, MR Kosorok
Biometrika 102 (1), 151-168, 2015
1052015
Censored rank independence screening for high-dimensional survival data
R Song, W Lu, S Ma, X Jessie Jeng
Biometrika 101 (4), 799-814, 2014
792014
Inference under right censoring for transformation models with a change-point based on a covariate threshold
MR Kosorok, R Song
Annals of Statistics 35 (3), 957-989, 2007
642007
Penalized q-learning for dynamic treatment regimens
R Song, W Wang, D Zeng, MR Kosorok
Statistica Sinica 25 (3), 901, 2015
612015
Penalized q-learning for dynamic treatment regimens
R Song, W Wang, D Zeng, MR Kosorok
Statistica Sinica 25 (3), 901, 2015
612015
A note on semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome
R Song, H Zhou, MR Kosorok
Biometrika 96 (1), 221-228, 2009
432009
On varying-coefficient independence screening for high-dimensional varying-coefficient models
R Song, F Yi, H Zou
Statistica Sinica 24 (4), 1735, 2014
422014
High-dimensional A-learning for optimal dynamic treatment regimes
C Shi, A Fan, R Song, W Lu
Annals of statistics 46 (3), 925, 2018
392018
A massive data framework for m-estimators with cubic-rate
C Shi, W Lu, R Song
Journal of the American Statistical Association 113 (524), 1698-1709, 2018
352018
On estimation of optimal treatment regimes for maximizing t-year survival probability
R Jiang, W Lu, R Song, M Davidian
Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2017
332017
Concordance-assisted learning for estimating optimal individualized treatment regimes
C Fan, W Lu, R Song, Y Zhou
Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2017
302017
On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning
R Song, M Kosorok, D Zeng, Y Zhao, E Laber, M Yuan
Stat 4 (1), 59-68, 2015
302015
Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective
X Bai, AA Tsiatis, W Lu, R Song
Lifetime data analysis 23 (4), 585-604, 2017
272017
Using pilot data to size a two‐arm randomized trial to find a nearly optimal personalized treatment strategy
EB Laber, YQ Zhao, T Regh, M Davidian, A Tsiatis, JB Stanford, D Zeng, ...
Statistics in medicine 35 (8), 1245-1256, 2016
242016
Sure screening for Gaussian graphical models
S Luo, R Song, D Witten
arXiv preprint arXiv:1407.7819, 2014
232014
Quantile-optimal treatment regimes
L Wang, Y Zhou, R Song, B Sherwood
Journal of the American Statistical Association 113 (523), 1243-1254, 2018
222018
Change-plane analysis for subgroup detection and sample size calculation
A Fan, R Song, W Lu
Journal of the American Statistical Association 112 (518), 769-778, 2017
222017
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Articles 1–20