The use of prognostic scores for causal inference with general treatment regimes
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Publication:6625618
DOI10.1002/sim.8084zbMATH Open1545.62479MaRDI QIDQ6625618
Thomas P. A. Debray, Tri Nguyen
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
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- Causal Inference for Statistics, Social, and Biomedical Sciences
- Propensity score matching and subclassification in observational studies with multi‐level treatments
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- Causal Inference With General Treatment Regimes
Related Items (6)
Prognostic score-based methods for estimating center effects based on survival probability: application to post-kidney transplant survival ⋮ Targeted learning in observational studies with multi-valued treatments: an evaluation of antipsychotic drug treatment safety ⋮ Practical recommendations on double score matching for estimating causal effects ⋮ On the aggregation of published prognostic scores for causal inference in observational studies ⋮ Dealing with confounding in observational studies: a scoping review of methods evaluated in simulation studies with single-point exposure ⋮ Evaluating individualized treatment effect predictions: a model-based perspective on discrimination and calibration assessment
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