Williamson, B. D., Krakauer, C., Johnson, E., Gruber, S., Shepherd, B. E., Laan, M. J. v. d., . . . Shaw, P. A. (2026). Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly‐Robust and Traditional Missing Data Methods. Wiley. https://doi.org/10.1002/sim.70366
Chicago Style (17th ed.) CitationWilliamson, Brian D., et al. Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly‐Robust and Traditional Missing Data Methods. Wiley, 2026. https://doi.org/10.1002/sim.70366.
MLA (9th ed.) CitationWilliamson, Brian D., et al. Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly‐Robust and Traditional Missing Data Methods. Wiley, 2026. https://doi.org/10.1002/sim.70366.