By definition, the randomization protocol is a known distribution on treatment assignments. In this context, 'known' means
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By definition, the randomization protocol is a known distribution on treatment assignments. In this context, 'known' means declared at baseline and \(P_{\theta}(\mathbf{t})=\) \(P_{\theta^{\prime}}(\mathbf{t})\) for all pairs \(\theta, \theta^{\prime}\). Show that the likelihood function does not depend on the randomization protocol.
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