Question: 1) [8 points] (13.1.1) Ignoring variable Clinic, consider a model for the log odds that respiratory status is classified as good, including the main effects

 1) [8 points] (13.1.1) Ignoring variable Clinic, consider a model for

1) [8 points] (13.1.1) Ignoring variable Clinic, consider a model for the log odds that respiratory status is classified as good, including the main effects of treatment and time (where time is regarded as a categorical variable with 5 levels), and their interaction. Use generalized estimating equations (GEE), assuming separate pairwise log odds ratios (or separate pairwise correlations, if available software does not permit the withinsubject association to be parameterized in terms of log odds ratios) among the five binary responses. Construct a test of the null hypothesis of no effect of treatment on changes in the log odds that respiratory status is classified as good based on the empirical standard errors. SOLUTION: [6 points] (13.1.2) What conclusions do you draw about the effect of treatment on changes in the log odds? Provide results that support your conclusions. SOLUTION

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