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On randomization-based causal inference for matched-pair factorial designs
Published 3 Feb 2017 in stat.ME | (1702.00888v1)
Abstract: Under the potential outcomes framework, we introduce matched-pair factorial designs, and propose the matched-pair estimator of the factorial effects. We also calculate the randomization-based covariance matrix of the matched-pair estimator, and provide the "Neymanian" estimator of the covariance matrix.
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