Refer to Problem 12.7. Let k (a, b, c) denote the expected frequency of outcomes (a,

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Refer to Problem 12.7. Let μk(a, b, c) denote the expected frequency of outcomes (a, b, c) for treatments (A, B, C) under treatment sequence k, where outcome 1 = relief and 0 = nonrelief. With a nonparametric random effects approach, show that one can estimate treatment effects in model (12.19) by fitting the quasi-symmetry model

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Data from Problem 12.7:

For the crossover study in Table 11.10 (Problem 11.6), fit the model

logit[P(Yi(k)t = 1|ui(k))] = αk + βt + ui(k),

where {ui(k)} are independent N(0, σ2). Interpret {β̂t} and σ̂.

Table 11.10:

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