On regression adjustments to experimental data

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On regression adjustments to experimental data

Regression adjustments are often made to experimental data. Since randomization does not justify the models, almost anything can happen. Here, we evaluate results using Neyman’s non-parametric model, where each subject has two potential responses, one if treated and the other if untreated. Only one of the two responses is observed. Regression estimates are generally biased, but the bias is smal...

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ژورنال

عنوان ژورنال: Advances in Applied Mathematics

سال: 2008

ISSN: 0196-8858

DOI: 10.1016/j.aam.2006.12.003