At 18:29 2004-02-18, you wrote:
Is anyone aware of a way to calculate log-likelihood for GEE models?
No. GEE fitting is based on quasi-likelihood.
However, it is possible to derive AIC-like measures based on the
quasi-likelihood. Lebreton et al (1992) suggested a simple adjustment in
the GLM
At 09:17 2004-02-19, you wrote:
For GEE models, Pan (2001) has introduced QIC. None of these measures are
implemented in R or in any add-on package as far as I know.
Actually, take a look at
http://hisdu.sph.uq.edu.au/lsu/SSAI%20course/course_tools.htm
Henric
On Wed, 18 Feb 2004 [EMAIL PROTECTED] wrote:
I'm working with clustered data sets and trying to calculate log-likelihood
(and/or AIC, AICc) for my models. In using the gee and geese packages one
gets Wald test output; but apparently there is no no applicable method
for logLik
