IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v30y2005i1p27-58.html
   My bibliography  Save this article

Discrete-Time Survival Mixture Analysis

Author

Listed:
  • Bengt Muthén
  • Katherine Masyn

Abstract

This article proposes a general latent variable approach to discrete-time survival analysis of nonrepeatable events such as onset of drug use. It is shown how the survival analysis can be formulated as a generalized latent class analysis of event history indicators. The latent class analysis can use covariates and can be combined with the joint modeling of other outcomes such as repeated measures for a related process. It is shown that conventional discrete-time survival analysis corresponds to a single-class latent class analysis. Multiple-class extensions are proposed, including the special cases of a class of long-term survivors and classes defined by outcomes related to survival. The estimation uses a general latent variable framework, including both categorical and continuous latent variables and incorporated in the Mplus program. Estimation is carried out using maximum likelihood via the EM algorithm. Two examples serve as illustrations. The first example concerns recidivism after incarceration in a randomized field experiment. The second example concerns school removal related to the development of aggressive behavior in the classroom.

Suggested Citation

  • Bengt Muthén & Katherine Masyn, 2005. "Discrete-Time Survival Mixture Analysis," Journal of Educational and Behavioral Statistics, , vol. 30(1), pages 27-58, March.
    • Handle: RePEc:sae:jedbes:v:30:y:2005:i:1:p:27-58
    DOI: 10.3102/10769986030001027
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986030001027
    Download Restriction: no
    File URL: https://libkey.io/10.3102/10769986030001027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miller, Elizabeth A. & Paschall, Katherine W. & Azar, Sandra T., 2017. "Latent classes of older foster youth: Prospective associations with outcomes and exits from the foster care system during the transition to adulthood," Children and Youth Services Review, Elsevier, vol. 79(C), pages 495-505.
    2. Hee-Koung Joeng & Ming-Hui Chen & Sangwook Kang, 2016. "Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(1), pages 38-62, January.
    3. Marjan Petreski & Nikica Mojsoska-Blazevski & Marcelo Bergolo, 2017. "Labor-Market Scars When Youth Unemployment is Extremely High: Evidence from Macedonia," Eastern European Economics, Taylor & Francis Journals, vol. 55(2), pages 168-196, March.
    4. Cristian Ionel Rotaru, 2014. "Transitioning Out of Unemployment: Analysis Using the ABS Longitudinal Labour Force Survey File," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 17(2), pages 111-137.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jedbes:v:30:y:2005:i:1:p:27-58. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.