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Regression adjustment in completely randomized experiments with a diverging number of covariates
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470187548.ch12openalex-snapshot
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inferredcites →https://doi.org/10.1002/sim.3113openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-1-4612-0865-5_26openalex-snapshot
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Thirty Years of Heteroskedasticity-Robust Inference
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Foundations of Modern Probability
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Design and Analysis of Experiments
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Foundations of Modern Probability
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The Expected Norm of a Sum of Independent Random Matrices: An Elementary Approach
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Randomization in Clinical Trials: Theory and Practice;
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On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
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The Design and Analysis of Experiments
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1515/jci-2023-0067openalex-snapshot
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inferred← citeshttps://doi.org/10.32614/cran.package.hoifcaropenalex-snapshot
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