Displaying 2 results from an estimated 2 matches for "nonignorable".
2007 Feb 15
0
New package 'drm' for repeated categorical data analysis
...al studies with dropout, the package also provides a
possibility to model the dropout mechanism by adding a selection model on
top of the joint regression and association model. This can be used to
explore the effect of dropout on the regression and association parameters
when dropout is considered nonignorable.
The novelty of the proposed approach is that there exists an explicit
solution for the joint distribution, and the parameterisation has an
inherent unit-sum constraint, which substantially facilitate maximum
likelihood fitting for datasets with large cluster sizes. For an
application to a binary...
2007 Feb 15
0
New package 'drm' for repeated categorical data analysis
...al studies with dropout, the package also provides a
possibility to model the dropout mechanism by adding a selection model on
top of the joint regression and association model. This can be used to
explore the effect of dropout on the regression and association parameters
when dropout is considered nonignorable.
The novelty of the proposed approach is that there exists an explicit
solution for the joint distribution, and the parameterisation has an
inherent unit-sum constraint, which substantially facilitate maximum
likelihood fitting for datasets with large cluster sizes. For an
application to a binary...