My data takes the following form: Outcome variable = no of suicides (count data) Explanatory variables = Age (grouped into young, middle and old), Gender, Country, Year I am running a Poisson regression. I have been told that I need to take the population size of each country into account, in order to be able to compare no of suicides in different countries. I have now included population in my dataset, and in my regression. What do I do? - How do I interpret the coefficient of Population, or should I ignore this? - Do I need to do anything else? Thank you in advance!
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3$\begingroup$ stats.stackexchange.com/questions/11182/… $\endgroup$– GlenCommented Mar 29, 2017 at 22:35
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$\begingroup$ This could be a duplicate as Glen has suggested. $\endgroup$– Michael R. ChernickCommented Mar 29, 2017 at 22:45
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$\begingroup$ If you can get the population size of each group (i.e. the population of young females in Belgium in 1992), then binomial regression might be more appropriate. $\endgroup$– Jacob SocolarCommented Mar 30, 2017 at 4:03
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$\begingroup$ Maybe I am missing something but I here are my thoughts. Right now you are comparing the exact number of suicides among countries. I guess there are more people in China than in Liechtenstein so there will be more suicides in China. Hence, you should compare the relative number I would think. So divide your suicides by population and use that number to create a model. However, you won't we be dealing with count data anymore in that case. $\endgroup$– RobbieCommented Mar 30, 2017 at 5:19
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