APA (7th ed.) Citation

Amoah, J., Stuart, E. A., Cosgrove, S. E., Harris, A. D., Han, J. H., Lautenbach, E., & Tamma, P. D. (2020). Comparing Propensity Score Methods Versus Traditional Regression Analysis for the Evaluation of Observational Data: A Case Study Evaluating the Treatment of Gram-Negative Bloodstream Infections. Clinical infectious diseases, 71(9), e497-e505. https://doi.org/10.1093/cid/ciaa169

Chicago Style (17th ed.) Citation

Amoah, Joe, Elizabeth A. Stuart, Sara E. Cosgrove, Anthony D. Harris, Jennifer H. Han, Ebbing Lautenbach, and Pranita D. Tamma. "Comparing Propensity Score Methods Versus Traditional Regression Analysis for the Evaluation of Observational Data: A Case Study Evaluating the Treatment of Gram-Negative Bloodstream Infections." Clinical Infectious Diseases 71, no. 9 (2020): e497-e505. https://doi.org/10.1093/cid/ciaa169.

MLA (9th ed.) Citation

Amoah, Joe, et al. "Comparing Propensity Score Methods Versus Traditional Regression Analysis for the Evaluation of Observational Data: A Case Study Evaluating the Treatment of Gram-Negative Bloodstream Infections." Clinical Infectious Diseases, vol. 71, no. 9, 2020, pp. e497-e505, https://doi.org/10.1093/cid/ciaa169.