Hello all

I work for an organisation that receives counts of all 'notifable'
diseases from around NZ.

I would like to compare this years figures with last years and in the
past we have used the Mantel-Haenszel chi-square test to test if there
has been a linear relationship between years (thus indicating a
change).  However we have a problem with this test when cell counts
are small.

But my question is 

Should I even be using this test at all - to my mind we are using
population data so any differences are real and therefore significant.
 We do have non-sampling error in our estimates (e.g. people who do
not go to a doctor, some diseases are not always recorded because of
the number of cases received e.g. campy in Auckland) but I do not
believe that we have a good handle on the size of this error and it
may be similar from year to year.

Thanks for your time
Regards
Michael
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