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

Wang, G., Li, Y., Xiong, C., Benzinger, T. L. S., Gordon, B. A., Hassenstab, J., Aschenbrenner, A. J., McDade, E., Clifford, D. B., Libre‐Guerra, J. J., Shi, X., Mummery, C. J., van Dyck, C. H., Lah, J. J., Honig, L. S., Day, G., Ringman, J. M., Brooks, W. S., … Fox, N. C. (2024). Examining amyloid reduction as a surrogate endpoint through latent class analysis using clinical trial data for dominantly inherited Alzheimer’s disease. Alzheimer’s & Dementia, 20(4), 2698–2706. Portico. https://doi.org/10.1002/alz.13735

Zhang, L., Wang, Y., Schuemie, M. J., Blei, D. M., & Hripcsak, G. (2022). Adjusting for indirectly measured confounding using large-scale propensity score. Journal of Biomedical Informatics, 134, 104204. https://doi.org/10.1016/j.jbi.2022.104204