Biometrics

Sharp bounds on the relative treatment effect for ordinal outcomes

Early View

Abstract For ordinal outcomes, the average treatment effect is often ill‐defined and hard to interpret. Echoing Agresti and Kateri, we argue that the relative treatment effect can be a useful measure, especially for ordinal outcomes, which is defined as γ=pr{Yi(1)>Yi(0)}−pr{Yi(1)

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