Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Kong, Shengchun"'
This research was motivated by studying anti-drug antibody (ADA) formation and its potential impact on long-term benefit of a biologic treatment in a randomized controlled trial, in which ADA status was not only unobserved in the control arm but also
Externí odkaz:
http://arxiv.org/abs/2101.04263
We consider high-dimensional inference for potentially misspecified Cox proportional hazard models based on low dimensional results by Lin and Wei [1989]. A de-sparsified Lasso estimator is proposed based on the log partial likelihood function and sh
Externí odkaz:
http://arxiv.org/abs/1811.00535
Autor:
Socinski, Mark A., Nishio, Makoto, Jotte, Robert M., Cappuzzo, Federico, Orlandi, Francisco, Stroyakovskiy, Daniil, Nogami, Naoyuki, Rodríguez-Abreu, Delvys, Moro-Sibilot, Denis, Thomas, Christian A., Barlesi, Fabrice, Finley, Gene, Kong, Shengchun, Lee, Anthony, Coleman, Shelley, Zou, Wei, McCleland, Mark, Shankar, Geetha, Reck, Martin
Publikováno v:
In Journal of Thoracic Oncology November 2021 16(11):1909-1924
Autor:
Kong, Shengchun, Nan, Bin
We consider generalized linear regression analysis with left-censored covariate due to the lower limit of detection. Complete case analysis by eliminating observations with values below limit of detection yields valid estimates for regression coeffic
Externí odkaz:
http://arxiv.org/abs/1412.2150
Autor:
Kong, Shengchun1 (AUTHOR), Heinzmann, Dominik2 (AUTHOR), Lauer, Sabine3 (AUTHOR), Tian, Lu4 (AUTHOR)
Publikováno v:
Statistics in Biopharmaceutical Research. Jan-Mar2023, Vol. 15 Issue 1, p187-197. 11p.
Autor:
Kong, Shengchun, Nan, Bin
We consider the finite sample properties of the regularized high-dimensional Cox regression via lasso. Existing literature focuses on linear models or generalized linear models with Lipschitz loss functions, where the empirical risk functions are the
Externí odkaz:
http://arxiv.org/abs/1204.1992
Autor:
Barbie, David A., Spira, Alexander, Kelly, Karen, Humeniuk, Rita, Kawashima, Jun, Kong, Shengchun, Koczywas, Marianna
Publikováno v:
In Clinical Lung Cancer November 2018 19(6):e853-e859
Publikováno v:
Journal of the American Statistical Association, 2018 Mar 01. 113(521), 357-368.
Externí odkaz:
https://www.jstor.org/stable/45028529
Autor:
Kong, Shengchun1 (AUTHOR), Yu, Zhuqing2 (AUTHOR), Zhang, Xianyang3 (AUTHOR), Cheng, Guang2 (AUTHOR) chengg@purdue.edu
Publikováno v:
Scandinavian Journal of Statistics. Sep2021, Vol. 48 Issue 3, p1068-1095. 28p.
Autor:
KONG, SHENGCHUN, NAN, BIN
Publikováno v:
Biometrika, 2016 Mar 01. 103(1), 161-174.
Externí odkaz:
http://www.jstor.org/stable/43908608