| Time series analysis J Zhang, Z Zhao, Y Xue, Z Chen, X Ma, Q Zhou Handbook of Medical Statistics, 269-299, 2017 | 51 | 2017 |
| Nomogram prediction for the survival of the patients with small cell lung cancer H Pan, X Shi, D Xiao, J He, Y Zhang, W Liang, Z Zhao, Z Guo, X Zou, ... Journal of Thoracic Disease 9 (3), 507, 2017 | 48 | 2017 |
| Structured penalized regression for drug sensitivity prediction Z Zhao, M Zucknick Journal of the Royal Statistical Society, Series C 69 (3), 525-545, 2020 | 12 | 2020 |
| Automatic epileptic seizure classification in multichannel EEG time series with linear discriminant analysis Y Gao, Z Zhao, Y Chen, G Mahara, J Huang, Z Lin, J Zhang Technology and Health Care 28 (1), 23-33, 2020 | 12 | 2020 |
| A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour Y Lin, H Lin, Q Lin, J Zhang, P Zhu, Y Lu, Z Zhao, J Lv, MK Lee, Y Xu Scientific Reports 6 (1), 22103, 2016 | 12 | 2016 |
| BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression Z Zhao, M Banterle, L Bottolo, S Richardson, A Lewin, M Zucknick Journal of Statistical Software 100 (11), 1-32, 2021 | 9 | 2021 |
| Structured Bayesian variable selection for multiple related response variables and high-dimensional predictors Z Zhao, M Banterle, A Lewin, M Zucknick arXiv preprint arXiv:2101.05899, 2021 | 4 | 2021 |
| 二分类资料的五种一致性评价指标应用效果比较 W Gong, Z Zhao, H Gu, J Zhang Chinese Journal of Health Statistics 33 (4), 636-638, 2016 | 4* | 2016 |
| 时间序列分析方法及其进展 Z Zhao, Q Zhou, J Zhang Chinese Journal of Health Statistics 32 (6), 1087-1090, 2015 | 4* | 2015 |
| Tissue-specific identification of multi-omics features for pan-cancer drug response prediction Z Zhao, S Wang, M Zucknick, T Aittokallio iScience 25 (8), 104767, 2022 | 3 | 2022 |
| ARMA 模型用于预测病毒性甲型肝炎发病趋势 JJ Lu, Y Tan, X Chen, C Wang, Z Zhao, J Zhang Chinese Journal of Disease Control and Prevalence 18 (4), 346-350, 2014 | 3* | 2014 |
| Multivariate Bayesian structured variable selection for pharmacogenomic studies Z Zhao, M Banterle, A Lewin, M Zucknick Journal of the Royal Statistical Society, Series C 73 (2), 420-443, 2024 | 2 | 2024 |
| Bile acid metabolites in early pregnancy and risk of gestational diabetes mellitus: Results from a prospective cohort study Y Wu, Z Wang, Z Zhao, X Song, M Miao, X Zhang Diabetes, Obesity and Metabolism 25 (8), 2255-2267, 2023 | 2 | 2023 |
| EnrichIntersect: an R package for custom set enrichment analysis and interactive visualization of intersecting sets Z Zhao, M Zucknick, T Aittokallio Bioinformatics Advances 2 (1), vbac073, 2022 | 2 | 2022 |
| Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure TT Mai, L Rønneberg, Z Zhao, M Zucknick, J Corander Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2020 | 2* | 2020 |
| Tutorial on survival modeling with applications to omics data Z Zhao, J Zobolas, M Zucknick, T Aittokallio Bioinformatics, btae132, 2024 | 1* | 2024 |
| Multivariate structured penalized and Bayesian regressions for pharmacogenomic screens Z Zhao University of Oslo, 2020 | 1 | 2020 |
| 自变量连续型测定值及基于中位数的 0~ 1 转化值拟合 logistic 回归模型的效果比较 X He, Z Zhao, J Huang, Y Chen, J Zhang Chinese Journal of Health Statistics 34 (6), 869-972, 2017 | 1* | 2017 |
| logistic 回归中连续型自变量离散化为二分类变量时适宜分界点的确定 X He, Z Zhao, X Wen, W Gong, B Huang, J Zhang Chinese Journal of Health Statistics 32 (2), 275-277, 2015 | 1* | 2015 |
| Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control C Castel, Z Zhao, M Thoresen arXiv preprint arXiv:2404.02594, 2024 | | 2024 |
