Hi, everyone,
I used two methods to analysis the relationship between y (count data) and x.
1) log transformed simple linear regression:
>lm(log(y+1)~x1+x2+x3,data)
2) Poisson regression:
>glm(y~x1+x2+x3,family=poisson())
 
Some one told that these two ways are very similar, but other one told that the Poisson regression does not fit the y but the lambda (parameter of the poisson distribution). I am not sure which one is right. Can anybody help me? 
Thanks for your attention and best wishes for you!
 
Lin
Aug 1st, 2012 
	[[alternative HTML version deleted]]

