APA (7th ed.) Citation

Wang, T., Pate, V., Wyss, R., Buse, J. B., Kosorok, M. R., & Stürmer, T. (2025). A novel high dimensional approach to assess heterogeneous treatment effect in claims data. American Journal of Epidemiology, 194(10), 2915. https://doi.org/10.1093/aje/kwaf127

Chicago Style (17th ed.) Citation

Wang, Tiansheng, Virginia Pate, Richard Wyss, John B. Buse, Michael R. Kosorok, and Til Stürmer. "A Novel High Dimensional Approach to Assess Heterogeneous Treatment Effect in Claims Data." American Journal of Epidemiology 194, no. 10 (2025): 2915. https://doi.org/10.1093/aje/kwaf127.

MLA (9th ed.) Citation

Wang, Tiansheng, et al. "A Novel High Dimensional Approach to Assess Heterogeneous Treatment Effect in Claims Data." American Journal of Epidemiology, vol. 194, no. 10, 2025, p. 2915, https://doi.org/10.1093/aje/kwaf127.