Hello!

I have a year's worth of count data that looks like this. It shows the count of events per day for two different user experiences and the total count of users per day.

I want to analyze the daily counts of groups A and B with the total user count as an additional covariate in the model. I reorganized the data like this:

I don't expect seasonal effects, so I would like to analyze this as a cross-sectional Poisson model. i.e.

count = grp + user_count

Am I going crazy or is the fact that count of users is repeated for each day introducing "non-independence" between observations? I almost want to drop date from the data because it's confusing me. Thank you.

I have a year's worth of count data that looks like this. It shows the count of events per day for two different user experiences and the total count of users per day.

I want to analyze the daily counts of groups A and B with the total user count as an additional covariate in the model. I reorganized the data like this:

I don't expect seasonal effects, so I would like to analyze this as a cross-sectional Poisson model. i.e.

count = grp + user_count

Am I going crazy or is the fact that count of users is repeated for each day introducing "non-independence" between observations? I almost want to drop date from the data because it's confusing me. Thank you.

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