APA (7th ed.) Citation

Jiang, C., Talbot, D., Carazo, S., & Schnitzer, M. E. (2025). A Double Machine Learning Approach for the Evaluation of COVID‐19 Vaccine Effectiveness Under the Test‐Negative Design: Analysis of Québec Administrative Data. Statistics in Medicine, 44(5), 1. https://doi.org/10.1002/sim.70025

Chicago Style (17th ed.) Citation

Jiang, Cong, Denis Talbot, Sara Carazo, and Mireille E. Schnitzer. "A Double Machine Learning Approach for the Evaluation of COVID‐19 Vaccine Effectiveness Under the Test‐Negative Design: Analysis of Québec Administrative Data." Statistics in Medicine 44, no. 5 (2025): 1. https://doi.org/10.1002/sim.70025.

MLA (9th ed.) Citation

Jiang, Cong, et al. "A Double Machine Learning Approach for the Evaluation of COVID‐19 Vaccine Effectiveness Under the Test‐Negative Design: Analysis of Québec Administrative Data." Statistics in Medicine, vol. 44, no. 5, 2025, p. 1, https://doi.org/10.1002/sim.70025.