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Covariate adjustment in stratified experiments

https://doi.org/10.3982/qe2475
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23/23 checkable references clean · checked 2026-08-02

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 23 checked references that resolve
resolves10.2307/27917244
Estimation of the Conditional Variance in Paired Experiments
resolves10.1257/aer.20201856
Optimality of Matched-Pair Designs in Randomized Controlled Trials
resolves10.2139/ssrn.4361520
Covariate Adjustment in Experiments with Matched Pairs
resolves10.1080/01621459.2021.1883437
Inference in Experiments With Matched Pairs
resolves10.3982/QE2354
Inference for matched tuples and fully blocked factorial designs
resolves10.1257/aer.20201892
Persistent Polarizing Effects of Persuasion: Experimental Evidence from Turkey
resolves10.2139/ssrn.3334011
Inference under Covariate-Adaptive Randomization with Multiple Treatments
resolves10.3982/QE2475
Covariate adjustment in stratified experiments
resolves10.1007/BF02288324
Solving non-bipartite matching problems via shortest path techniques
resolves10.1093/biomet/asy034
Regression-assisted inference for the average treatment effect in paired experiments
resolves10.2307/2998560
On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
resolves10.2307/2951620
Identification and Estimation of Local Average Treatment Effects
resolves10.1017/CBO9781139025751
Causal Inference for Statistics, Social, and Biomedical Sciences
resolves10.1080/07350015.2024.2403381
Design-Based Theory for Lasso Adjustment in Randomized Block Experiments and Rerandomized Experiments
resolves10.1017/S0266466605050036
MODEL SELECTION AND INFERENCE: FACTS AND FICTION
resolves10.1214/12-AOAS583
Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique
resolves10.1093/biomet/asaa038
Regression-adjusted average treatment effect estimates in stratified randomized experiments
resolves10.1080/01621459.2024.2366043
Tyranny-of-the-Minority Regression Adjustment in Randomized Experiments
resolves10.1080/07474938.2020.1824732
Revisiting regression adjustment in experiments with heterogeneous treatment effects
resolves10.1214/24-EJS2233
A unified analysis of regression adjustment in randomized experiments
resolves10.1080/01621459.1995.10476494
Semiparametric Efficiency in Multivariate Regression Models with Missing Data
resolves10.2307/1912705
Root-N-Consistent Semiparametric Regression
resolves10.1080/01621459.2021.1990767
Rerandomization in Stratified Randomized Experiments
The 7 references without a DOI — listed, not checked
no DOI — not checkedArmstrong, Tim (2022), “Asymptotic efficiency bounds for a class of experimental designs.” arXiv preprint. arXiv:2205.02726.
no DOI — not checkedData and Code for: Persistent Polarizing Effects of Persuasion: Experimental Evidence From Turkey
no DOI — not checkedChang, Haoge (2023), “Design-based estimation theory for complex experiments.” arXiv preprint. arXiv:2311.06891.
no DOI — not checkedCytrynbaum, Max (2022), “Designing representative and balanced experiments by local randomization.” arXiv preprint. arXiv:2111.08157v1.
no DOI — not checkedCytrynbaum, Max (2023), “Optimal stratification of survey experiments.” arXiv preprint. arXiv:2111.08157.
no DOI — not checkedTing, Ye, Jun Shao, Yanyao Yi, and Qingyuan Zhao (2022), “Toward better practice of covariate adjustment in analyzing randomized clinical trials.” Journal of the American Statistical Association, 00 (0).
no DOI — not checkedWei, Ma, Fuyi Tu, and Hanzhong Liu (2022), “Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective.” Statistics in Medicine.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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