A backward procedure for change-point detection with applications to copy number variation detection
SJ Shin, Y Wu, H Ning
The Canadian Journal of Statistics, 2020
12
Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni Syndrome
SJ Shin, J Li, J Ning, J Bojadzieva, L Strong, W Wang
Biostatistics, 2020
13
Book Review: Model-Based Clustering and Classification for Data Science: With Applications in R
SJ Shin
The American Statistician, 2020
14
The regularization paths for the ROC-optimizing support vector machines
D Kim^, SJ Shin*
Journal of the Korean Statistical Society, 2020
15
Penetrance estimates over time to first and second primary cancer diagnosis in families with Li-Fraumeni syndrome: a single institution perspective,
SJ Shin, EB Dodd, F Gao, J Bojadzieva, J Chen, X Kong, C Amos, J Ning, LC Strong, W Wang
Cancer Research, 2020
16
Penetrance of different cancer types in families with Li-Fraumeni syndrome: a validation study using multi-center cohorts
SJ Shin, EB Dodd, G Peng, J Bojadzieva, J Chen, C Amos, PL Mai, SA Savage, ML Ballinger, DM Thomas, Y Yuan, LC Strong, W Wang
Cancer Research, 2020
17
Bayesian semiparametric estimation of cancer specific age-at-onset penetrance with application to Li-Fraumeni syndrome
SJ Shin, LC Strong, J Bojadzieva, W Wang, Y Yuan
Journal of the American Statistical Association, 2019
18
Principal weighted logistic regression for sufficient dimension reduction in binary classification
BY Kim^, SJ Shin*
Journal of the Korean Statistical Society, 2019
19
Quantile-slicing estimation for dimension reduction in regression
H Kim^, Y Wu, SJ Shin*
Journal of Statistical Planning and Inference, 2019
20
Hierarchically penalized quantile regression with multiple responses