受强制性开放获取政策约束的文章 - Seung Jun Shin了解详情
无法在其他位置公开访问的文章：3 篇
A nonparametric survival function estimator via censored kernel quantile regressions
SJ Shin, HH Zhang, Y Wu
Statistica Sinica, 457-478, 2017
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, 国家自然科 …
A comparative study of the dose-response analysis with application to the target dose estimation
SJ Shin, SK Ghosh
Journal of Statistical Theory and Practice 11, 145-162, 2017
强制性开放获取政策： US National Science Foundation
Variable selection in large margin classifier‐based probability estimation with high‐dimensional predictors
SJ Shin, Y Wu
Biometrical Journal 56 (4), 594-596, 2014
强制性开放获取政策： US National Institutes of Health
可在其他位置公开访问的文章：12 篇
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ...
Cell 184 (8), 2239-2254. e39, 2021
强制性开放获取政策： US National Institutes of Health, Research Foundation (Flanders), Canadian …
Principal weighted support vector machines for sufficient dimension reduction in binary classification
SJ Shin, Y Wu, HH Zhang, Y Liu
Biometrika 104 (1), 67-81, 2017
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter CohortsCancer-Specific Penetrance in LFS
SJ Shin, EB Dodd-Eaton, G Peng, J Bojadzieva, J Chen, CI Amos, ...
Cancer research 80 (2), 354-360, 2020
强制性开放获取政策： US National Institutes of Health, National Health and Medical Research …
Probability‐enhanced sufficient dimension reduction for binary classification
SJ Shin, Y Wu, HH Zhang, Y Liu
Biometrics 70 (3), 546-555, 2014
强制性开放获取政策： US National Institutes of Health
Real-time sufficient dimension reduction through principal least squares support vector machines
A Artemiou, Y Dong, SJ Shin
Pattern Recognition 112, 107768, 2021
强制性开放获取政策： US National Science Foundation
Principal quantile regression for sufficient dimension reduction with heteroscedasticity
C Wang, SJ Shin, Y Wu
Electronic Journal of Statistics 12 (2), 2114-2140, 2018
强制性开放获取政策： US National Science Foundation
Penetrance Estimates Over Time to First and Second Primary Cancer Diagnosis in Families with Li-Fraumeni Syndrome: A Single Institution PerspectiveMultiple Primary Cancer …
SJ Shin, EB Dodd-Eaton, F Gao, J Bojadzieva, J Chen, X Kong, CI Amos, ...
Cancer research 80 (2), 347-353, 2020
强制性开放获取政策： US National Institutes of Health, Cancer Prevention Research Institute of …
Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni Syndrome
J Li, SJ Shin, J Ning, J Bojadzieva, LC Strong, W Wang
arXiv preprint arXiv:1804.06883, 2018
强制性开放获取政策： US National Institutes of Health
Two-dimensional solution surface for weighted support vector machines
SJ Shin, Y Wu, HH Zhang
Journal of Computational and Graphical Statistics 23 (2), 383-402, 2014
强制性开放获取政策： US National Institutes of Health
Bayesian Semiparametric Estimation of Cancer-specific Age-at-onset Penetrance with Application to Li-Fraumeni Syndrome
SJ Shin, Y Yuan, LC Strong, J Bojadzieva, W Wang
Journal of the American Statistical Association, 1-32, 2018
强制性开放获取政策： US National Institutes of Health
Quantile-slicing estimation for dimension reduction in regression
H Kim, Y Wu, SJ Shin
Journal of Statistical Planning and Inference 198, 1-12, 2019
强制性开放获取政策： US National Science Foundation
Personalized Risk Prediction for Cancer Survivors: A Bayesian Semi-parametric Recurrent Event Model with Competing Outcomes
NH Nguyen, SJ Shin, EB Dodd-Eaton, J Ning, W Wang
bioRxiv, 2023.02. 28.530537, 2023
强制性开放获取政策： US National Institutes of Health, Cancer Prevention Research Institute of …
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