The gllamm procedure provides a framework in which to undertake many of the more difficult analyses required for trials and intervention studies. Treatment effect estimation in the presence of noncompliance can be undertaken using instrumental variable (IV) methods. I illustrate how gllamm can...

gllamm is a program to fit generalised linear latent and mixed models. Since gllamm6 appeared in the STB (sg129), a large number of new features have been added. Two important extensions will be discussed: 1) More response processes can now be modelled including ordered and unordered categorical...

gllamm can estimate both conventional and unconventional latent class models. Models are specified using discrete latent variables whose values determine the conditional response distributions for the classes. A new feature of gllamm is that latent class probabilities can depend on covariates....

-gllamm- provides a framework within which many of the more difficult analyses required for trials and intervention studies may be undertaken. Treatment effect estimation in the presence of non-compliance can be undertaken using instrumental variable (IV) methods. We illustrate how -gllamm- can...

We describe Stata macros that implement the composite link approach to missing data in log-linear models first described by David Rindskopf (Psychometrika, 1992, V57, 29-42). When a missing value occurs among the variables that form a contingency table, the resulting observation contributes to...