JASA Jun 18, 2025

Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment

Authors
Siyu Heng Yang Feng Jiawei Zhang
Research Topics
Causal Inference Experimental Design
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2025.2516204
  • Published:
    June 18, 2025
  • Added to Tracker:
    Jul 30, 2025
Author Details
Siyu Heng
Author
Yang Feng
Author
Jiawei Zhang
Author
Research Topics & Keywords
Causal Inference
Research Area
Experimental Design
Research Area
Citation Information
APA Format
Siyu Heng , Yang Feng & Jiawei Zhang (2025) . Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment. Journal of the American Statistical Association , 10.1080/01621459.2025.2516204.
BibTeX Format
@article{paper326,
  title = { Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment },
  author = { Siyu Heng and Yang Feng and Jiawei Zhang },
  journal = { Journal of the American Statistical Association },
  year = { 2025 },
  doi = { 10.1080/01621459.2025.2516204 },
  url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2516204 }
}
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