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Scandinavian Journal of Statistics, Theory and Applications|September 20, 2016
Selection of latent variables for multiple mixed-outcome modelsLing Zhou, Huazhen Lin, Xinyuan Song, et al.Biometrics|April 23, 2014
Semiparametric transformation models for semicompeting survival dataHuazhen Lin, Ling Zhou, Chunhong Li, et al.Biometrics|July 27, 2022
Center-augmented ℓ2 -type regularization for subgroup learningYe He, Ling Zhou, Yingcun Xia, et al.Heliyon|June 13, 2024
Predicting stock price of construction companies using weighted ensemble learningXinyuan SongScientific Reports|June 2, 2026
A 19-layer convolutional neural network for accurate COVID-19 detection in chest X-ray images: comparative analysis with pretrained networksXinyuan SongStatistics in Medicine|July 10, 2008
Semi-parametric maximum likelihood estimates for ROC curves of continuous-scale testsXiao-Hua Zhou, Huazhen LinBiostatistics (Oxford, England)|June 24, 2009
A semiparametric 2-part mixed-effects heteroscedastic transformation model for correlated right-skewed semicontinuous dataHuazhen Lin, Xiao-Hua ZhouStatistics in Medicine|June 6, 2018
A single-index threshold Cox proportional hazard model for identifying a treatment-sensitive subset based on multiple biomarkersYe He, Huazhen Lin, Dongsheng TuScandinavian Journal of Statistics, Theory and Applications|September 21, 2016
A semiparametrically efficient estimator of the time-varying effects for survival data with time-dependent treatmentHuazhen Lin, Zhe Fei, Yi LiPageof 206