Dear all,
I have one response variable and several explanatory variables, and I want to know the contribution of each explanatory variable to the response variable. Path analysis and partial correlation analysis seem to be suitable for my aim. But I have three questions as follows:
1) My response data is count data. I have analyzed the relationship between response data and explanatory data using Poisson regression, and have found out these significant factors. Before regression, I have stanstardized explanatory table using scale() function. Can I identify the contribution of each significant factor according to the partial regression coefficient directly?
2) Can path analysis and partial correlation analysis be based on Poisson regression (i.e. calculate the path coefficient or partial correlation coefficent without changing the link function of "glm") 
3) I am not sure the difference of these two method, so I don't know which method is more suitable for my analysis.
 
Thanks very much for any suggestion.
 
Guojun
May 14th, 2012
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