Dear Colleagues,
I am trying different estimation procedures on a two-level random
effect logistic regression model. So far I have tried penalized
quasi-likelihood method (PQL), maximum likelihood method with
Gauss-Hermite quadrature (GHQ), non-parametric maximum likelihood
(NPML) method. Note that both PQL and GHQ assume normally distributed
random effects, and it is relatively easy to program the Bayesian
equivalent in BUGS. I don't know if it is possible to estimate a
Bayesian model equivalent to the non-parametric maximum likelihood
(NPML) method. I appreciate any comments and suggestions on this.
Best,
Shige
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