APA (7th ed.) Citation

Yao, S., Lix, L., Teare, G., Evans, C., & Blackburn, D. (2022). An integrated continuity of care measure improves performance in models predicting medication adherence using population-based administrative data. PLoS ONE, 17(3), 1. https://doi.org/10.1371/journal.pone.0264170

Chicago Style (17th ed.) Citation

Yao, Shenzhen, Lisa Lix, Gary Teare, Charity Evans, and David Blackburn. "An Integrated Continuity of Care Measure Improves Performance in Models Predicting Medication Adherence Using Population-based Administrative Data." PLoS ONE 17, no. 3 (2022): 1. https://doi.org/10.1371/journal.pone.0264170.

MLA (9th ed.) Citation

Yao, Shenzhen, et al. "An Integrated Continuity of Care Measure Improves Performance in Models Predicting Medication Adherence Using Population-based Administrative Data." PLoS ONE, vol. 17, no. 3, 2022, p. 1, https://doi.org/10.1371/journal.pone.0264170.