Article first published online: 24 JUL 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 31, Issue 28, pages 3444–3466, 10 December 2012
How to Cite
Liao, K., Freres, D. R. and Troxel, A. B. (2012), A transition model for quality-of-life data with non-ignorable non-monotone missing data. Statist. Med., 31: 3444–3466. doi: 10.1002/sim.5359
- Issue published online: 23 NOV 2012
- Article first published online: 24 JUL 2012
- Manuscript Accepted: 10 FEB 2012
- Manuscript Received: 28 JUL 2011
- National Cancer Institute. Grant Number: P50-CA095856-05
- full likelihood;
- transition probability;
- selection model
In this paper, we consider a full likelihood method to analyze continuous longitudinal responses with non-ignorable non-monotone missing data. We consider a transition probability model for the missingness mechanism. A first-order Markov dependence structure is assumed for both the missingness mechanism and observed data. This process fits the natural data structure in the longitudinal framework. Our main interest is in estimating the parameters of the marginal model and evaluating the missing-at-random assumption in the Effects of Public Information Study, a cancer-related study recently conducted at the University of Pennsylvania. We also present a simulation study to assess the performance of the model. Copyright © 2012 John Wiley & Sons, Ltd.