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Dear all,
I am trying to analyse uptake of cancer screening across three screening
rounds for common groups of patients (identified by age). It was
suggested a while ago that I use the Cochran test for this since I have
dependent data and a binary outcome variable. However, after reading lots
if info about this test, I am still not entirely sure how to apply it.
Could someone give me some ideas, please?
The data table is as follows:
Age group Number of people screened Total people
(in each age group)
Round 1 Round 2 Round 3
1 (youngest) 149 153 146 199
2 5908 5636 7274 5911
3 6792 6305 8288 6788
4 (oldest) 5621 5569 5035 6976
To summarise, there are 22737 people in total and they were
either screened or not screened in each round. Each age group (1-4)
contains the same people from round to round. So, in other words, of the
199 people who make up age group 1, 149 of them were screened in round 1,
153 of these same people in round 2 and 146 of them in round 3 etc.
I basically want to see if screening behaviour changes for the 'same'
people as they go through the screening process. I have already
discovered that age has a negative effect on screening uptake, but I just
want to carry out a concrete test to identify differences for these common
groups.
Thanks in advance for any thoughts/help!
Lou
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