Lee, J., Ma, S., Serban, N., & Yang, S. (2024). Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records.
Chicago Style (17th ed.) CitationLee, Junghwan, Simin Ma, Nicoleta Serban, and Shihao Yang. Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate Treatment Effect Estimation from Electronic Health Records. 2024.
MLA (9th ed.) CitationLee, Junghwan, et al. Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate Treatment Effect Estimation from Electronic Health Records. 2024.
Warning: These citations may not always be 100% accurate.