Generalized linear models with covariate measurement error can be estimated by maximum likelihood using gllamm, a … “wrapper” command, cme, that calls gllamm to estimate the model. The wrapper makes life easy for the user by accepting a simple … running gllamm can also be obtained from cme. We first discuss the case where several measurements are available and …

This manual describes a Stata program gllamm that can estimate Generalized Linear Latent and Mixed Models (GLLAMMs … can be downloaded from http://www.gllamm.org. …

or selection variable. This article describes a “wrapper” program, ssm, that calls gllamm (Rabe-Hesketh, Skrondal, and … Pickles, GLLAMM Manual [University of California – Berkeley, Division of Bio- statistics, Working Paper Series, Paper No. 160 …

mixed models and fitted by using the user-written command gllamm. Copyright 2007 by StataCorp LP. …

Generalized linear models with covariate measurement error can be estimated by maximum likelihood using gllamm, a … ÒwrapperÓ command, cme, that calls gllamm to estimate the model. The wrapper makes life easy for the user by accepting a simple … running gllamm can also be obtained from cme. We first discuss the case where several measurements are available and …

or selection variable. This paper describes a ‘wrapper’ program, ssm, that calls gllamm (Rabe-Hesketh et al. 2004a) to …

studies and comparison with gllamm show that the profile-likelihood method performs well in both types of applications. The …