A Modular Framework for Treatment Effect Estimation in Latent Subgroups
Abstract Latent subgroups arise when patients are randomized to an intended treatment, that can only be given for certain, treatable, patients. For biological efficacy, the relevant estimand is then the treatment effect in the subgroup of treatable patients, with the obvious issue that this subgroup...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Springer
2025-09-01
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| Serie: | Journal of Statistical Theory and Applications (JSTA) |
| Ämnen: | |
| Länkar: | https://doi.org/10.1007/s44199-025-00139-6 |
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