For the crossover study summarized in Exercise 9.6, fit the model logit[P(Yi(k)t = 1)] = ui(k) + αk + βt, where {ui(k)} are independent N(0, σ2). Interpret {βˆt} and σˆ. Compare interpretations and estimates of βB − βA and βC − βA and their SE values to those using the marginal model of Exercise 9.6.