Survival Analysis

Survival Analysis

• Asparouhov, T. & Muthén, B. (2018). Continuous - Time Survival Analysis in Mplus. Version 3. Download scripts.
  
  
• Raykov, T., Gorelick, P.B., Zajacova, A., & Marcoulides, G.A. (2017). On the potential of discrete time survival analysis using latent variable modeling: An application to the study of the vascular depression hypothesis. Structural Equation Modeling: A Multidisciplinary Journal, DOI: 10.1080/10705511.2017.1315305
  
  
• Muthén, B., Asparouhov, T., Boye, M., Hackshaw, M. & Naegeli, A. (2009). Applications of continuous-time survival in latent variable models for the analysis of oncology randomized clinical trial data using Mplus. Technical Report. View Mplus outputs.
  
  
• Asparouhov, T., Masyn, K. & Muthén, B. (2006). Continuous time survival in latent variable models. Proceedings of the Joint Statistical Meeting in Seattle, August 2006. ASA section on Biometrics, 180-187. Download scripts.
  
  
• Muthén, B. & Masyn, K. (2005). Discrete-time survival mixture analysis. Journal of Educational and Behavioral Statistics, 30, 27-58.
  
  

For more information, visit our General Description page.

For more resources see our Survival Analysis paper topic.