Ignoring the clinic variable, 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 five levels), and their interaction.
Use generalized estimating equations (GEE), assuming separate pairwise log odds ratios (or separate pairwise correlations) 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.

clinic id trt y0 y1 y2 y3 y4
1 1 P 0 0 0 0 0
1 2 P 0 0 0 0 0
1 3 A 1 1 1 1 1
1 4 P 1 1 1 1 0
1 5 P 0 0 0 0 0
2 11 P 0 0 0 0 0
2 12 A 0 0 1 1 1
2 13 A 1 1 1 1 1
2 14 P 1 1 0 1 1
2 15 P 1 0 0 1 1
2 16 P 1 1 0 0 0
2 17 P 1 1 1 1 1

da freeck kinda math is this just drop out

step-by-step explanation:

if gloria has "carry over" minutes, (that is, any minutes paid for but not used in a month can be applied to her payment for minutes in the next month,) her total usage for the three months is: total minutes = 320 + 243 + 489 = 1052 minutes number of 200 minute blocks = 1052/200 = 5 r52 (that is 5 with a remainder of 52) rounding up the number of 200 minute blocks gives her usage for the three months as 6 blocks. the cost for six blocks is 6 x $25 = $150 she also has 200 - 52 or 148 carry over minutes if gloria pays each month and unused minutes are lost, applying the rounding up procedure to each month gives: first month usage of 320 minutes rounds up to 2 blocks of 200 minutes for a payment of 2 x $25 = $50 second month usage of 243 minutes rounds up to 2 blocks of 200 minutes for a payment of 2 x $25 = $50 third month usage of 489 minutes rounds up to 3 blocks of 200 minutes for a payment of 3 x $25 = $75 total payments for the three months are $50 + $50 + $75 = $175 get the plan with carry over minutes!