Targeted maximum likelihood estimation (TMLE) in regulatory submissions and research: a landscape analysis
- DOI
- 10.1515/ijb-2026-0055
- Published
- 2026-06-17
- Container
- The International Journal of Biostatistics
- Publisher
- Walter de Gruyter GmbH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1515/ijb-2026-0055,
title = {Targeted maximum likelihood estimation (TMLE) in regulatory submissions and research: a landscape analysis},
author = {Hana Lee and Menglun Wang and Spencer Haupert and Gabriel K. Innes and Sarah K. Dutcher and Susan Gruber and Qi Liu},
year = {2026},
journal = {The International Journal of Biostatistics},
doi = {10.1515/ijb-2026-0055},
url = {https://doi.org/10.1515/ijb-2026-0055}
}RIS
TY - JOUR TI - Targeted maximum likelihood estimation (TMLE) in regulatory submissions and research: a landscape analysis AU - Hana Lee AU - Menglun Wang AU - Spencer Haupert AU - Gabriel K. Innes AU - Sarah K. Dutcher AU - Susan Gruber AU - Qi Liu PY - 2026 JO - The International Journal of Biostatistics DO - 10.1515/ijb-2026-0055 UR - https://doi.org/10.1515/ijb-2026-0055 ER -
APA
Lee, H., Wang, M., Haupert, S., Innes, G. K., Dutcher, S. K., Gruber, S., & Liu, Q. (2026). Targeted maximum likelihood estimation (TMLE) in regulatory submissions and research: a landscape analysis. The International Journal of Biostatistics. https://doi.org/10.1515/ijb-2026-0055
Source records
- crossref · retrieved 2026-09-25T14:14:49.239Z