JASA
Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
Authors
Siyu Heng
Jiawei Zhang
Yang Feng
Research Topics
Causal Inference
Experimental Design
Paper Information
-
Journal:
Journal of the American Statistical Association -
DOI:
10.1080/01621459.2025.2516204 -
Added to Tracker:
Jul 16, 2025
Author Details
Siyu Heng
AuthorJiawei Zhang
AuthorYang Feng
AuthorResearch Topics & Keywords
Causal Inference
Research AreaExperimental Design
Research AreaCitation Information
APA Format
Siyu Heng
,
Jiawei Zhang
&
Yang Feng
.
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{paper215,
title = { Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment },
author = {
Siyu Heng
and Jiawei Zhang
and Yang Feng
},
journal = { Journal of the American Statistical Association },
doi = { 10.1080/01621459.2025.2516204 },
url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2516204 }
}