A unified least squares framework for identifying and estimating causal effects in crossover designs that remains valid under misspecified working models.
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Principled analysis of crossover designs: causal effects, efficient estimation, and robust inference
A unified least squares framework for identifying and estimating causal effects in crossover designs that remains valid under misspecified working models.