Richmond, H.L.; Tome, J.; Rochani, H.; Fung, I.C.-H.; Shah, G.H.; Schwind, J.S.
The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia. Int. J. Environ. Res. Public Health 2020, 17, 8036.
https://doi.org/10.3390/ijerph17218036
AMA Style
Richmond HL, Tome J, Rochani H, Fung IC-H, Shah GH, Schwind JS.
The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia. International Journal of Environmental Research and Public Health. 2020; 17(21):8036.
https://doi.org/10.3390/ijerph17218036
Chicago/Turabian Style
Richmond, Holly L., Joana Tome, Haresh Rochani, Isaac Chun-Hai Fung, Gulzar H. Shah, and Jessica S. Schwind.
2020. "The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia" International Journal of Environmental Research and Public Health 17, no. 21: 8036.
https://doi.org/10.3390/ijerph17218036
APA Style
Richmond, H. L., Tome, J., Rochani, H., Fung, I. C.-H., Shah, G. H., & Schwind, J. S.
(2020). The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia. International Journal of Environmental Research and Public Health, 17(21), 8036.
https://doi.org/10.3390/ijerph17218036
