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Journal of Statistical Computation and Simulation Volume 91, 2021 - Issue 7
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Research Article

Leveraging random assignment to impute missing covariates in causal studies

Gauri Kamata Department of Biostatistics, Brown University, Providence, RI, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9338-0820View further author information
ORCID Icon &
Jerome P. Reiterb Department of Statistical Science, Duke University, Durham, NC, USAView further author information
Pages 1275-1305 | Received 09 Mar 2020, Accepted 08 Nov 2020, Published online: 24 Nov 2020

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Anqi Zhao & Peng Ding. (2022) To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates. Journal of the American Statistical Association 0:0, pages 1-11.
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Mutamba T. Kayembe, Shahab Jolani, Frans E.S. Tan & Gerard J.P. van Breukelen. (2022) Imputation of Missing Covariates in Randomized Controlled Trials with Continuous Outcomes: Simple, Unbiased and Efficient Methods. Journal of Biopharmaceutical Statistics 32:5, pages 717-739.
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