Instrumental variable estimation for compositional treatments.
Saved in:
| Title: | Instrumental variable estimation for compositional treatments. |
|---|---|
| Authors: | Ailer E; Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. elisabeth.ailer@helmholtz-munich.de.; TUM School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, 85748, Garching, Germany. elisabeth.ailer@helmholtz-munich.de.; Munich Center for Machine Learning (MCML), Munich, Germany. elisabeth.ailer@helmholtz-munich.de., Müller CL; Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Munich Center for Machine Learning (MCML), Munich, Germany.; Department of Statistics, Ludwig-Maximilian University, Geschwister-Scholl-Platz 1, 80539, Munich, Germany.; Center for Computational Mathematics, Flatiron Institute, 162 5th Ave, 10010, New York, NY, United States., Kilbertus N; Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; TUM School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, 85748, Garching, Germany.; Munich Center for Machine Learning (MCML), Munich, Germany. |
| Source: | Scientific reports [Sci Rep] 2025 Feb 12; Vol. 15 (1), pp. 5158. Date of Electronic Publication: 2025 Feb 12. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-025-89204-9 |
