Sheng, Y., & Sun, Y. (2024). Statistical Inference for Counting Processes Under Shape Heterogeneity. Statistics in Medicine, 43(30), 5849–5861. Portico. https://doi.org/10.1002/sim.10280

Williams, S. Z., Zou, J., Liu, Y., Si, Y., Galea, S., & Chen, Q. (2024). Improving Survey Inference Using Administrative Records Without Releasing Individual‐Level Continuous Data. Statistics in Medicine, 43(30), 5803–5813. Portico. https://doi.org/10.1002/sim.10270

Silva, R. B., Cheng, B., Carvajal, R. D., & Lee, S. M. (2024). Dose Individualization for Phase I Cancer Trials With Broadened Eligibility. Statistics in Medicine, 43(29), 5534–5547. Portico. https://doi.org/10.1002/sim.10264

Zhu, T., Xue, L., Tekwe, C., Diaz, K., Benden, M., & Zoh, R. (2024). Clustering Functional Data With Measurement Errors: A Simulation‐Based Approach. Statistics in Medicine, 43(28), 5344–5352. Portico. https://doi.org/10.1002/sim.10238

McDonnell, E. I., Xie, S., Marder, K., Cui, F., & Wang, Y. (2024). Dynamic undirected graphical models for time‐varying clinical symptom and neuroimaging networks. Statistics in Medicine, 43(21), 4131–4147. Portico. https://doi.org/10.1002/sim.10143

Yang, B., Guo, X., Loh, J. M., Wang, Q., & Wang, Y. (2024). Learning optimal biomarker‐guided treatment policy for chronic disorders. Statistics in Medicine, 43(14), 2765–2782. Portico. https://doi.org/10.1002/sim.10099

Liu, W., Lin, H., Liu, L., Ma, Y., Wei, Y., & Li, Y. (2023). Supervised structural learning of semiparametric regression on high‐dimensional correlated covariates with applications to eQTL studies. Statistics in Medicine, 42(18), 3145–3163. Portico. https://doi.org/10.1002/sim.9769

Ding, J., Li, J., Han, Y., McKeague, I. W., & Wang, X. (2023). Fitting additive risk models using auxiliary information. Statistics in Medicine, 42(6), 894–916. Portico. https://doi.org/10.1002/sim.9649

Andrillon, A., Chevret, S., Lee, S. M., & Biard, L. (2022). Surv‐CRM‐12: A Bayesian phase I/II survival CRM for right‐censored toxicity endpoints with competing disease progression. Statistics in Medicine, 41(29), 5753–5766. Portico. https://doi.org/10.1002/sim.9591

Xie, S., Wang, W., Wang, Q., Wang, Y., & Zeng, D. (2022). Evaluating effectiveness of public health intervention strategies for mitigating COVID‐19 pandemic. Statistics in Medicine, 41(19), 3820–3836. Portico. https://doi.org/10.1002/sim.9482

Xu, T., Chen, Y., Zeng, D., & Wang, Y. (2022). Self‐matched learning to construct treatment decision rules from electronic health records. Statistics in Medicine, 41(17), 3434–3447. Portico. https://doi.org/10.1002/sim.9426

Devick, K. L., Bobb, J. F., Mazumdar, M., Claus Henn, B., Bellinger, D. C., Christiani, D. C., Wright, R. O., Williams, P. L., Coull, B. A., & Valeri, L. (2022). Bayesian kernel machine regression‐causal mediation analysis. Statistics in Medicine, 41(5), 860–876. Portico. https://doi.org/10.1002/sim.9255

Xie, S., McDonnell, E., & Wang, Y. (2021). Conditional Gaussian graphical model for estimating personalized disease symptom networks. Statistics in Medicine, 41(3), 543–553. Portico. https://doi.org/10.1002/sim.9274

Dahlgren, F. S., Foppa, I. M., Stockwell, M. S., Vargas, C. Y., LaRussa, P., & Reed, C. (2021). Household transmission of influenza A and B within a prospective cohort during the 2013‐2014 and 2014‐2015 seasons. Statistics in Medicine, 40(28), 6260–6276. Portico. https://doi.org/10.1002/sim.9181