Missing Data

• 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. Contact the author. Paper can be downloaded from here.
  
  
• 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.