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Investigators often use regression adjustment methods to analyze the results of randomized experiments when baseline covariates are available. Their aim is to improve the estimation efficiency of treatment effects by adjusting for imbalance of covariates. Under mild conditions, the...
The presence of confounding by high-dimensional variables complicates the estimation of the average effect of a point treatment. On the one hand, it necessitates the use of variable selection strategies or more general high-dimensional statistical methods. On the other hand, the use of such...
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