Muthén, B., Asparouhov, T., Hunter, A. & Leuchter, A. (2011). Growth modeling with non-ignorable dropout: Alternative analyses of the STAR*D antidepressant trial. Psychological Methods, 16, 17-33.
Contact the first author. Click here to view Mplus outputs used in this paper.
Paper can be downloaded from here.
Enders, C.K. (2011). Missing not at random models for latent growth curve analyses. Forthcoming in Psychological Methods, 16, 1-16.
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Enders, C.K. (2010). Applied missing data analysis. New York: Guilford Press.
Additional information about this book can be found here.
Muthén, B., Jo, B. & Brown, H. (2003). Comment on the Barnard, Frangakis, Hill & Rubin article, Principal stratification approach to
broken randomized experiments: A case study of school choice vouchers in New York City. Journal of the American Statistical Association, 98, 311-314.
Contact the first author. The Muthén et al. article can be downloaded from here.
The Barnard et al. article can be found at http://biosun01.biostat.jhsph.edu/~cfrangak/papers/index.html. For background information and analyses using Mplus, see Mplus Web Note #5 and Jo (2002), Sensitivity of causal effects under ignorable and latent ignorable missing-data mechanisms, Draft. Contact the author.
The Jo paper can be downloaded from here.
Muthén, B., Kaplan, D. & Hollis, M. (1987). On structural equation modeling with data that are not missing completely at random. Psychometrika, 52, 3, 431-462.
Contact the first author. Paper can be downloaded from here.