Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis.

MLA

Guo, Yuchen, et al. “Machine Learning Methods for Propensity and Disease Risk Score Estimation in High-Dimensional Data: A Plasmode Simulation and Real-World Data Cohort Analysis.” Frontiers in Pharmacology, vol. 15, Oct. 2024, p. 1395707. EBSCOhost, https://doi.org/10.3389/fphar.2024.1395707.

APA

Guo, Y., Strauss, V. Y., Català, M., Jödicke, A. M., Khalid, S., & Prieto-Alhambra, D. (2024). Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis. Frontiers in Pharmacology, 15, 1395707. https://doi.org/10.3389/fphar.2024.1395707

Chicago

Guo, Yuchen, Victoria Y Strauss, Martí Català, Annika M Jödicke, Sara Khalid, and Daniel Prieto-Alhambra. 2024. “Machine Learning Methods for Propensity and Disease Risk Score Estimation in High-Dimensional Data: A Plasmode Simulation and Real-World Data Cohort Analysis.” Frontiers in Pharmacology 15 (October): 1395707. doi:10.3389/fphar.2024.1395707.