APA (7th ed.) Citation

Degeling, K., To, Y. H., Trapani, K., Athan, S., Gibbs, P., IJzerman, M. J., & Franchini, F. (2024). Predicting the Population Health Economic Impact of Current and New Cancer Treatments for Colorectal Cancer: A Data-Driven Whole Disease Simulation Model for Predicting the Number of Patients with Colorectal Cancer by Stage and Treatment Line in Australia. Value in health, 27(10), 1382-1392. https://doi.org/10.1016/j.jval.2024.06.006

Chicago Style (17th ed.) Citation

Degeling, Koen, Yat Hang To, Karen Trapani, Sophy Athan, Peter Gibbs, Maarten J. IJzerman, and Fanny Franchini. "Predicting the Population Health Economic Impact of Current and New Cancer Treatments for Colorectal Cancer: A Data-Driven Whole Disease Simulation Model for Predicting the Number of Patients with Colorectal Cancer by Stage and Treatment Line in Australia." Value in Health 27, no. 10 (2024): 1382-1392. https://doi.org/10.1016/j.jval.2024.06.006.

MLA (9th ed.) Citation

Degeling, Koen, et al. "Predicting the Population Health Economic Impact of Current and New Cancer Treatments for Colorectal Cancer: A Data-Driven Whole Disease Simulation Model for Predicting the Number of Patients with Colorectal Cancer by Stage and Treatment Line in Australia." Value in Health, vol. 27, no. 10, 2024, pp. 1382-1392, https://doi.org/10.1016/j.jval.2024.06.006.