Doubly robust estimation of causal survival effects via inverse probability of treatment and censoring weighting and semi-parametric AFT models with variable selection.
- DOI
- 10.1177/09622802261488051
- Published
- 2026 Sep 19
- Container
- Statistical methods in medical research
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1177/09622802261488051,
title = {Doubly robust estimation of causal survival effects via inverse probability of treatment and censoring weighting and semi-parametric AFT models with variable selection.},
author = {Su CL},
year = {2026},
journal = {Statistical methods in medical research},
doi = {10.1177/09622802261488051},
url = {https://doi.org/10.1177/09622802261488051}
}RIS
TY - JOUR TI - Doubly robust estimation of causal survival effects via inverse probability of treatment and censoring weighting and semi-parametric AFT models with variable selection. AU - Su CL PY - 2026 JO - Statistical methods in medical research DO - 10.1177/09622802261488051 UR - https://doi.org/10.1177/09622802261488051 ER -
APA
CL, S. (2026). Doubly robust estimation of causal survival effects via inverse probability of treatment and censoring weighting and semi-parametric AFT models with variable selection.. Statistical methods in medical research. https://doi.org/10.1177/09622802261488051
Source records
- pubmed · retrieved 2026-09-25T16:48:09.609Z
- europe-pmc · retrieved 2026-09-25T16:48:09.629Z