Model for the Analysis of Binary Longitudinal Pain Data Subject to Informative Dropout Through Remedication.

Authors :: Pulkstenis, Erik P.
Have, Thomas R. Ten
Landis, J. Richard
Source :: Journal of the American Statistical Association. Jun98, Vol. 93 Issue 442, p438-450. 13p. 10 Charts, 2 Maps.
Publication Year :: 1998
Abstract: Presents a selection model approach for binary longitudinal data that accommodates informative dropouts. Definition of notation within the context of the pain data; Descriptive analysis between the binary pain response and treatment; Comparison of the proposed models to those of generalized estimating equation.

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