How to specify residual correlation structure in glm
Hello all,
I'm trying to fit a Poisson model to the rate of hospitalizations for children under 5 years.
This is my code: glm adm_rate time month, family(poisson) link(nbinomial) offset(oset)
I have added time and month as explanatory variables.
The offset is the log of the number of children at each time point.
I would like to specify the residual correlation structure as autoregressive order 1 (AR(1)). I'm struggling with how to implement this using the glm command. Is this possible? If so, can someone help me with the best way to do this?
Thank you
David
I'm trying to fit a Poisson model to the rate of hospitalizations for children under 5 years.
This is my code: glm adm_rate time month, family(poisson) link(nbinomial) offset(oset)
I have added time and month as explanatory variables.
The offset is the log of the number of children at each time point.
I would like to specify the residual correlation structure as autoregressive order 1 (AR(1)). I'm struggling with how to implement this using the glm command. Is this possible? If so, can someone help me with the best way to do this?
Thank you
David
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