Question: 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

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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