| Performance of breast cancer risk-assessment models in a large mammography cohort AM McCarthy, Z Guan, M Welch, ME Griffin, DA Sippo, Z Deng, ... JNCI: Journal of the National Cancer Institute 112 (5), 489-497, 2020 | 71 | 2020 |
| Performance of screening breast MRI across women with different elevated breast cancer risk indications DA Sippo, KS Burk, SF Mercaldo, GM Rutledge, C Edmonds, Z Guan, ... Radiology 292 (1), 51-59, 2019 | 61 | 2019 |
| Merging versus ensembling in multi-study prediction: theoretical insight from random effects Z Guan, G Parmigiani, P Patil arXiv preprint arXiv:1905.07382, 2019 | 18 | 2019 |
| Validation of breast cancer risk models by race/ethnicity, family history and molecular subtypes AM McCarthy, Y Liu, S Ehsan, Z Guan, J Liang, T Huang, K Hughes, ... Cancers 14 (1), 45, 2021 | 15 | 2021 |
| Mining mutation contexts across the cancer genome to map tumor site of origin S Chakraborty, A Martin, Z Guan, CB Begg, R Shen Nature Communications 12 (1), 3051, 2021 | 12 | 2021 |
| Combining breast cancer risk prediction models Z Guan, T Huang, AM McCarthy, K Hughes, A Semine, H Uno, L Trippa, ... Cancers 15 (4), 1090, 2023 | 8 | 2023 |
| Familial pancreatic cancer: who should be considered for genetic testing? K Kartal, Z Guan, R Tang, M Griffin, Y Wang, D Braun, AP Klein, ... Irish Journal of Medical Science (1971-), 1-10, 2022 | 2 | 2022 |
| Prediction of hereditary cancers using neural networks Z Guan, G Parmigiani, D Braun, L Trippa The annals of applied statistics 16 (1), 495, 2022 | 2 | 2022 |
| Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach S Chakraborty, Z Guan, CB Begg, R Shen Biometrics 80 (2), ujae030, 2024 | 1 | 2024 |
| Predicting cancer risk from germline whole-exome sequencing data using a novel context-based variant aggregation approach Z Guan, CB Begg, R Shen Cancer Research Communications 3 (3), 483-488, 2023 | 1 | 2023 |
| Exome-wide pan-cancer analysis of germline variants in 8,719 individuals finds little evidence of rare variant associations Z Guan, R Shen, CB Begg Human heredity 86 (1-4), 34-44, 2021 | 1 | 2021 |
| A Proper Scoring Rule for Validation of Competing Risks Models Z Guan arXiv preprint arXiv:2104.01000, 2021 | 1 | 2021 |
| Predicting Cancer Risk from Germline Next-generation Sequencing Data Using a Novel Context-based Variant Aggregation Approach Z Guan, CB Begg, R Shen GENETIC EPIDEMIOLOGY 46 (7), 497-497, 2022 | | 2022 |
| Statistical and Machine Learning Methods for Clinical Risk Prediction Z Guan | | 2020 |
| Identifying somatic fingerprints of cancers defined by germline and environmental risk factors S Chakraborty, Z Guan, CE Kostrzewa, R Shen, CB Begg Genetic Epidemiology, 0 | | |
