Wang, D., Ye, W., Sung, R., Jiang, H., Taylor, J.M.G, Ly L. and He, K. (2024) Kullback-Leibler-Based Discrete Failure time Models for Integration of Published Prediction Models with New Time-To-Event Dataset. The Annals of Applied Statistics, In Press. [arxiv]
ENAR 2023 Distinguished Student Paper Award
ASA Lifetime Data Science Section 2022 LiDS Student Paper Award
Wang, D., Jing, Z., He, K. and Garmire, L. (2021) Cox-nnet v2.0: improved neural-network based survival prediction extended to large-scale EMR dataset. Bioinformatics, 37(17), 2772-2774. [paper]
Tran, L., He, K., Wang, D., and Jiang, H. (2023) A Cross-Validation Statistical Framework for Asymmetric Data Integration. Biometrics, 79(2), 1280-1292. [paper]
Liu, L., He, K., Wang, D., Ma, S., Qu, A., Lin, L., Miller, J. P., and Liu, L. (2023) Healthcare Center Clustering for Cox's Proportional Hazards Model by Fusion Penalty. Statistics in Medicine, 42(20), 3685-3698. [paper]
Liu, L., He, K., Wang, D., Ma, S., Qu, A., Luan, Y., Miller, J. P., Song, Y. and Liu, L. (2024) Health care provider clustering using fusion penalty in quasi-likelihood. Biometrical Journal, In Press.
Wang, D., Ye, W., Zhu, J., Xu, G., Tang, W., Zawistowski, M., Fritsche, L. G., and He, K. (2024) Incorporating External Risk Information with the Cox Model under Population Heterogeneity: Applications to Trans-Ancestry Polygenic Hazard Scores. [arxiv]
ASA Biometrics Section 2024 Early Career Paper Award
NESS 2023 Student Research Award
Han, M.K., Ye, W., Wang, D., White, E., Arjomandi, M., Barjaktarevic, I.Z., Brown, S.-A., Buhr, R.G., Comellas, A.P., Cooper, C.B., Criner, G.J., Dransfield, M.T., Drescher, F., Folz, R.J., Hansel, N.N., Kaner, R.J., Kanner, R.E., Krishnan, J.A., Lazarus, S.C., Maddipati, V., Martinez, F.J., Mathews, A., Meldrum, C., McEvoy, C., Nyunoya, T., Rogers, L., Stringer, W.W., Wendt, C.H., Wise, R.A., Wisniewski, S.R., Sciurba, F.C., and Woodruff, P.G., for the RETHINC Study Group. (2022) Bronchodilators in Tobacco-Exposed Persons with Symptoms and Preserved Lung Function. New England Journal of Medicine, 387(13), 1173-1184. [paper]
Ye, W., Ding, X., Putnam, N., Farej, R., Singh, R., Wang, D., Kuo, S., Kong, S. X., Elliott, J. C., Lott, J., and Herman, W. H. (2022) Development of clinical prediction models for renal and cardiovascular outcomes and mortality in patients with type 2 diabetes and chronic kidney disease using time-varying predictors. Journal of Diabetes and its Complications, 36(5), 108180. [paper]