Question: Find a marginal model with another type of logit that fits the insomnia data of Table 11.4 well. Interpret parameter estimates, and compare conclusions to

Find a marginal model with another type of logit that fits the insomnia data of Table 11.4 well. Interpret parameter estimates, and compare conclusions to those using cumulative logits.

Table 11.4:

Time to Falling Asleep, by Treatment and Occasion Time to Falling Asleep

Time to Falling Asleep, by Treatment and Occasion Time to Falling Asleep Follow-up < 20 > 60 Treatment Initial 20-30 30-60 < 20 Active 4 20-30 5 2 11 30-60 13 23 > 60 < 20 17 13 Placebo 4 20-30 14 30-60 6. 18 > 60 4 11 14 22

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To fit a marginal model with another type of logit to the insomnia data in Table 114 we can use the proportional odds model which is a type of ordered ... View full answer

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