APA (7th ed.) Citation

Hu, L., Zou, J., Gu, C., Ji, J., Lopez, M., & Kale, M. (2022). A FLEXIBLE SENSITIVITY ANALYSIS APPROACH FOR UNMEASURED CONFOUNDING WITH MULTIPLE TREATMENTS AND A BINARY OUTCOME WITH APPLICATION TO SEER-MEDICARE LUNG CANCER DATA. The annals of applied statistics, 16(2), 1014. https://doi.org/10.1214/21-aoas1530

Chicago Style (17th ed.) Citation

Hu, Liangyuan, Jungang Zou, Chenyang Gu, Jiayi Ji, Michael Lopez, and Minal Kale. "A FLEXIBLE SENSITIVITY ANALYSIS APPROACH FOR UNMEASURED CONFOUNDING WITH MULTIPLE TREATMENTS AND A BINARY OUTCOME WITH APPLICATION TO SEER-MEDICARE LUNG CANCER DATA." The Annals of Applied Statistics 16, no. 2 (2022): 1014. https://doi.org/10.1214/21-aoas1530.

MLA (9th ed.) Citation

Hu, Liangyuan, et al. "A FLEXIBLE SENSITIVITY ANALYSIS APPROACH FOR UNMEASURED CONFOUNDING WITH MULTIPLE TREATMENTS AND A BINARY OUTCOME WITH APPLICATION TO SEER-MEDICARE LUNG CANCER DATA." The Annals of Applied Statistics, vol. 16, no. 2, 2022, p. 1014, https://doi.org/10.1214/21-aoas1530.