Dear Statalisters,
I know this is not a question about Stata. But much of my statistical knowledge was learned here, and I was hoping this question and the discussion that might follow can contribute to the growth of the forum.
In short, I wonder whether it is possible (and how to do it) to compute the confidence intervals of Y/X, where
(i) Y is the occurrence of events during a given period of time, and
(ii) X is the exposure of events during the same period of time
The tricky part is that, Y and X were from two different datasets. In other word, the count for events was from survey A, and the exposure from survey B. The two surveys used different survey methods, although their sampling universe referred to the same population.
Some people suggested that I can use bootstrapping or jackknife to simulate the distribution of (Y/X); does this approach make sense?
Thanks very much.
I know this is not a question about Stata. But much of my statistical knowledge was learned here, and I was hoping this question and the discussion that might follow can contribute to the growth of the forum.
In short, I wonder whether it is possible (and how to do it) to compute the confidence intervals of Y/X, where
(i) Y is the occurrence of events during a given period of time, and
(ii) X is the exposure of events during the same period of time
The tricky part is that, Y and X were from two different datasets. In other word, the count for events was from survey A, and the exposure from survey B. The two surveys used different survey methods, although their sampling universe referred to the same population.
Some people suggested that I can use bootstrapping or jackknife to simulate the distribution of (Y/X); does this approach make sense?
Thanks very much.
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